WorldWideScience

Sample records for ann butler zimrin

  1. Mig og Judith Butler

    DEFF Research Database (Denmark)

    Heede, Dag

    2015-01-01

    Essay om forfatterens akademiske og personlige møde med Judith Butler i temanummer i forbindelse med 25 års jubilæum for udgivelsen af Gender Trouble (1990).......Essay om forfatterens akademiske og personlige møde med Judith Butler i temanummer i forbindelse med 25 års jubilæum for udgivelsen af Gender Trouble (1990)....

  2. Butler, Judith, Undoing Gender

    Directory of Open Access Journals (Sweden)

    Anabela Rocha

    2012-10-01

    Full Text Available O conceito de “gender” de Butler (Gender Trouble, 1990 foi um forte ponto de viragem nos estudos queer uma vez que torna radicalmente claro que o género não é uma essência já feita que seria vivenciada pelos sujeitos mas sim um permanente fazer pela sua própria reiteração performativa, que poderia subverter ou não os padrões dualistas hegemónicos. Undoing Gender tem a particularidade de reflectir radicalmente sobre os riscos que correm aqueles que desconstroem esses padrões. Trata-se de uma ...

  3. Butler's sophisticated constructivism: A critical assessment

    NARCIS (Netherlands)

    Vasterling, V.L.M.

    1999-01-01

    This paper aims to investigate whether and in what respects the conceptions of the body and of agency that Judith Butler develops in Bodies That Matter are useful contributions to feminist theory. The discussion focuses on the clarification and critical assessment of the arguments Butler presents to

  4. Anne Fine

    Directory of Open Access Journals (Sweden)

    Philip Gaydon

    2015-04-01

    Full Text Available An interview with Anne Fine with an introduction and aside on the role of children’s literature in our lives and development, and our adult perceptions of the suitability of childhood reading material.Since graduating from Warwick in 1968 with a BA in Politics and History, Anne Fine has written over fifty books for children and eight for adults, won the Carnegie Medal twice (for Goggle-Eyes in 1989 and Flour Babies in 1992, been a highly commended runner-up three times (for Bill’s New Frock in 1989, The Tulip Touch in 1996, and Up on Cloud Nine in 2002, been shortlisted for the Hans Christian Andersen Award (the highest recognition available to a writer or illustrator of children’s books, 1998, undertaken the positon of Children’s Laureate (2001-2003, and been awarded an OBE for her services to literature (2003. Warwick presented Fine with an Honorary Doctorate in 2005.Philip Gaydon’s interview with Anne Fine was recorded as part of the ‘Voices of the University’ oral history project, co-ordinated by Warwick’s Institute of Advanced Study.

  5. Changing the Subject: Judith Butler's Politics of Radical Resignification.

    Science.gov (United States)

    Olson, Gary A.; Worsham, Lynn

    2000-01-01

    Notes that Judith Butler is arguably one of the world's most influential and innovative scholars dealing with questions of difference, identity, and the role of rhetoric in subject formation. Explores Butler's views on anti-intellectualism and identity relating to sexual orientation. Presents an interview examining many of Butler's writings. (SG)

  6. Another Look at the Wine Butler

    Science.gov (United States)

    DeWeerd, Alan J.

    2007-01-01

    In a recent article, Iain MacInnes analyzed the static equilibrium of a system consisting of a wine bottle and a wine butler. After discussing that composite system, students can be asked to consider only the bottle (and its contents) as the system. An interesting challenge for them is to describe the forces on the bottle in static equilibrium.

  7. Subjectification: The Relevance of Butler's Analysis for Education

    Science.gov (United States)

    Davies, Bronwyn

    2006-01-01

    In this paper I explore the process of subjectification (sometimes also called subjectivation, or simply, subjection) through which one becomes a subject--a process that Butler describes in terms of simultaneous mastery and submission, entailing a necessary vulnerability to the other in order to be. I examine the conceptual work Butler has…

  8. 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

  9. Parcels and Land Ownership, Published in 2011, Butler County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Butler County, KS. This metadata was auto-generated through the Ramona GIS...

  10. iAnn

    DEFF Research Database (Denmark)

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

    2013-01-01

    submitted events, and these are subsequently accessed via web services. Thus, once an iAnn widget is incorporated into a website, it permanently shows timely relevant information as if it were native to the remote site. At the same time, announcements submitted to the repository are automatically...... 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....

  11. 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

  12. Judith Butler's theories: reflections for nursing research and practice.

    Science.gov (United States)

    Nagington, Maurice G

    2016-10-01

    Judith Butler is one of the most influential late 20th and early 21st century philosophers in regard to left wing politics, as well as an active campaigner for social justice within the United States and worldwide. Her academic work has been foundational to the academic discipline of queer theory and has been extensively critiqued and applied across a hugely wide range of disciplines. In addition, Butler's work itself is extensive covering topics such as gender, sexuality, race, literary theory, and warfare. This article can only serve as a taster for the potential application of her work in relation to nursing, which is in its infancy. This introduction covers three of the potentially most productive themes in Butler's work, namely power, performativity, and ethics. Each of these themes are critically explored in turn, sometimes in relation to their actual application in nursing literature, but also in relation to their potential for producing novel critiques of nursing practice. Suggestions are made about how Butler's work can develop nursing research and practice. The article concludes with a short summary of Butler's key works as well as suggested reading for people interested in examining how her theories have been applied across different academic settings.

  13. Goellner v. Butler, 6 January 1988.

    Science.gov (United States)

    1988-01-01

    In the case of Goellner vs. Butler, heard in the US Court of Appeals, the plaintiff brought an action against the defendants for negligent insertion of an IUD, which allegedly resulted in her infertility. The Court held that the action was time-barred because the cause of action accrued on the date that the patient was informed of pelvic infection and the erosion of the cervix, but the plaintiff had brought the action more than 10 years after this date, when she learned she was infertile. In 1988, similar rulings were made in cases in Minnesota and Illinois. Other courts held the following in IUD cases: 1) a jury could consider a manufacturer's reasonable conduct in developing unavoidably unsafe but desirable products as well as its unreasonable conduct in not developing an IUD which was as safe as possible; 2) a Food and Drug Administration (FDA) warning linking IUDs to the incidence of pelvic inflammation is admissible as evidence even though the IUD was implanted four months before the effective date of the warning because the regulation containing the warning was adopted one month before the IUD was inserted; and 3) the strict liability, negligence, and breach of warranty claims of states are not specifically preempted by federal laws in the form of warning and design requirements set by the FDA. In addition, courts in Pennsylvania, Delaware, New Jersey, and Arkansas held that the manufacturers of IUDs had provided sufficient warning to patients in materials provided to prescribing physicians. The Court in Arkansas also held that the exception to the strict liability rule for unavoidably unsafe products which could not be made safe for their intended and ordinary use insulated the manufacturer from liability in design defect cases. In a case relating to the injectable contraceptive Depo-Provera, the District Court of Appeals of Florida held that a plaintiff could not be found contributorily negligent for undergoing a hysterectomy to control bleeding without

  14. Injurious Assumptions: Butler, Subjectification and Gen(d)erational Poverty

    Science.gov (United States)

    Gowlett, Christina

    2012-01-01

    Using Judith Butler's theory of performative subjection, this paper examines the injurious attitudes of three staff members at an outer-metropolitan high school who are heavily involved in the enactment and monitoring of Senior Education and Training (SET) Plan interviews for the Queensland Certificate of Education. It is argued that teachers at…

  15. William Butler Yeats, George Antheil, Ezra Pound Friends and Music

    Directory of Open Access Journals (Sweden)

    Ann Saddlemyer

    2013-03-01

    Full Text Available William Butler Yeats was throughout his life determined to relate his words to music, and involved many writers and musicians in his search for the key. While in Rapallo staying near Ezra Pound, he met the young composer George Antheil, who became one of his converts. Others followed, with Yeats continuing to expound and clarify his ambition.

  16. 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"

  17. 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

  18. Abrir posibilidades. Una conversación con Judith Butler

    Directory of Open Access Journals (Sweden)

    Patrícia Soley- Beltran

    2013-07-01

    Full Text Available Entrevista realizada a Judith Butler en París el 20 de junio de 2006 en la que se tratan diversos temas: la contribución de Butler al pensamiento de género y la materialidad del cuerpo, y su visión del feminismo de la diferencia; la regulación estatal del sistema de parentesco, la diferencia sexual y la reproducción; el matrimonio homosexual y la proliferación de prácticas sexuales y de parentesco no normativas; su lectura de la política exterior de Estados Unidos en relación al género, el feminismo y a la definición normativa de lo humano; su papel público como intelectual y activista; biopolítica y precariedad; escritura autobiográfica; art performance y performatividad; transexualidad y subversión.

  19. Cyber-Mobbing als verletzender Sprechakt im Sinne Judith Butlers

    Directory of Open Access Journals (Sweden)

    Katharina Luckner

    2012-12-01

    Full Text Available Dieser Beitrag widmet sich der Frage, inwiefern Cyber-Mobbing unter Bezugnahme auf Judith Butlers sprach- bzw. diskurstheoretisches Konzept als verletzender Sprechakt verstanden werden kann. Zu diesem Zweck werden in einem ersten Schritt die Besonderheiten von Cyber-Mobbing aufgezeigt und im Anschluss daran ein für diesen Text geeigneter Cyber-Mobbing-Begriff formuliert. Daraufhin erfolgt eine interpretative Auseinandersetzung mit der Butlerschen Konzeption verletzender Sprechakte, bevor anschließend anhand wesentlicher Schnittstellen herausgearbeitet wird, inwiefern Cyber-Mobbing als ein solcher verletzender sprachlicher Akt begriffen werden kann. Resümierend werden die zentralen Ergebnisse der Ausarbeitung zusammengefasst und es wird danach gefragt, welche Konsequenzen bzw. Folgen sich hieraus für ein mögliches verändertes Verständnis von Cyber-Mobbing ergeben.This Paper argues whether cyber bullying can be understood as violating speach act with reference to Judith Butler by starting with a definition of cyber bullying (respectively the term cyber 'mobbing' which is used synonymously in German speaking countries and an outline of Butler's theory. After that, the question of a new or different understanding of cyber bullying and its consequences is discussed.

  20. The Solar Eclipse Mural Series by Howard Russell Butler

    Science.gov (United States)

    Pasachoff, J. M.; Olson, R. J. M.

    2016-01-01

    There is a rich trove of astronomical phenomena in works of art by artists from the greater New York area, a trend that is even more pronounced in the oeuvres of New York City residents through the present day. A case in point is the trio of oil paintings by artist (and former physics professor) Howard Russell Butler depicting total solar eclipses in 1918, 1923, and 1925 that are based on his own observations. They were long displayed in the former art-deco building of the Hayden Planetarium of the American Museum of Natural History, the location of this conference. (The Museum also has nine other Butler paintings, none of which are currently exhibited.) Since the eclipse paintings have been in storage for many years, these once famous works are now virtually forgotten. Based on our research as an astronomer who has seen sixty-two solar eclipses and an art historian who has written extensively about astronomical imagery, we will discuss Butler's Solar Eclipse Triptych to explore its place in the history of astronomical imaging.

  1. Introducing Anne Cheng

    OpenAIRE

    Corvol, Pierre

    2013-01-01

    Dear Colleague, Dear Anne Cheng, Studies on China have enjoyed a prominent position at the Collège de France for several years now. The Chair of Intellectual History of China that you are inaugurating today is strengthening that position. Your life and studies are characterized by both Chinese and French culture. You point out that it was at school in the French Republic that you learned critical thinking, particularly in history and philosophy. After graduating from the École normale supérie...

  2. Cos i sexualitat en el pensament de Judith Butler

    OpenAIRE

    Llansana Colom, Anna

    2016-01-01

    Aquest treball intenta ajudar a una reflexió sobre les idees principals de Judith Butler en relació al cos i a la sexualitat i a contrastar-les amb d'altres pensadors contemporanis. Analitza quina relació té el cos amb el llenguatge i de quina manera el discurs crea una construcció cultural sobre el sexe i el gènere, i determina quines sexualitats són acceptades i quines són rebutjades. Esmenta que els cossos que no responen a la normativa heterosexual són considerats abjectes, i també, que e...

  3. An e-Health Platform for the Elderly Population: The Butler System

    Science.gov (United States)

    Etchemendy, E.; Banos, R. M.; Botella, C.; Castilla, D.; Alcaniz, M.; Rasal, P.; Farfallini, L.

    2011-01-01

    The Butler system is an e-health platform designed to improve the elderly population's quality of life. The Butler system has three applications diagnostic, therapeutic and playful. The objective of this work is to present the influence of the use of the platform on elderly users' mood states and the degree of acceptance. These measures were…

  4. Gender Undone: Subversion, Regulation and Embodiment in the Work of Judith Butler

    Science.gov (United States)

    Nayak, Anoop; Kehily, Mary Jane

    2006-01-01

    Judith Butler's philosophical writings on identity have provided inspiring, if occasionally "troubling", ways of rethinking gender. A key contribution has been the challenge to conventional social constructionist ideas and thinking on subjectivity. In developing a paradigm of performativity, Butler's work takes us beyond the territory of identity…

  5. Reconsiderations: We Got the Wrong Gal--Rethinking the "Bad" Academic Writing of Judith Butler

    Science.gov (United States)

    Birkenstein, Cathy

    2010-01-01

    It is hard to think of a writer whose work has been more prominently upheld as an example of bad academic writing than the philosopher and literary theorist Judith Butler. In 1998, Butler was awarded first prize in the annual Bad Writing Contest established by the journal "Philosophy and Literature," and early in 1999, was lampooned in an…

  6. Pierce Butler's "An Introduction to Library Science: A Tract for Our Times? A Review Article

    Science.gov (United States)

    Cronin, Blaise

    2004-01-01

    Considers the historic and contemporary import of Pierce Butler's "An Introduction to Library Science". Characterizes the content of each chapter and critically analyses the central theses. Relates Butler's positivistic premises, assumptions and conclusions to the congeries of competing epistemological and ideological standpoints that defines…

  7. Attachement et relationnalité : Butler face à Hegel

    Directory of Open Access Journals (Sweden)

    Philippe Sabot

    2011-03-01

    Full Text Available A partir d’une présentation de Sois mon corps, cet article se propose de mettre en lumière quelques prolongements contemporains de la dialectique hégélienne du maître et de l’esclave. Avec l’interprétation qu’en propose J. Butler notamment, c’est le statut du corps qui devient problématique dès lors que le désir de s’en détacher entre en tension avec une ontologie relationnelle et sociale de la vie corporelle qui signe la vulnérabilité de l’être vivant.Through a presentation of Sois mon corps, this paper aims to point out some contemporary extensions to the Hegelian Master/Slave dialectics. According to J. Butler especially, the status of the body must be now considered as a problem : the desire to separate oneself from it contradicts a relational and social ontology of the bodily life which actually means the vulnerability of the living.

  8. Die doppelte Triade: Wotan - Loge - Erda/Wagner - Freud - Butler

    Directory of Open Access Journals (Sweden)

    Simone Fohr-Manthey

    2012-05-01

    Full Text Available This essay offers a reading of Richard Wagner’s Rhinegold as a work in which important tendencies of modernity are prefigured in the opera’s narratological and vocal dispositions. These tendencies are, first of all, the destabilization of an intact identity and, second, the Freudian-based concept of the three aspects of the psyche, the id, the ego, and the super-ego, which govern the individual self. A third focus is on Wagner’s ideas of an androgynous system beyond the dualism of maleness/femaleness, as described by Judith Butler. With these premises, an analysis of the opera’s dramatic function and vocal parts for the characters Wotan, Loge, and Erda shows whether Richard Wagner, as an author-composer of the late nineteenth century, can be regarded as a protomodernist and thus a pacesetter for modernity.

  9. Universidad de Ciencias de Butler Indianapolis (EE. UU.

    Directory of Open Access Journals (Sweden)

    Hellmuth, George

    1978-03-01

    Full Text Available The Science building and the Holcomb Research Institute, with their 20,500 m2 of constructed surface, form part of the scientific complex of Butler University. The distribution scheme adopted for its development consists of coupling the new «L»-shaped structure, originated by joining both buildings to the existing building, with the object of concentrating pedestrian traffic in the large rectangular patio which has been created. The new building houses different student laboratories, grouped by departments, with classrooms and reading rooms located on the ground floor. In both these structures, the laboratories are located in the central part of each floor, with the corridors and offices located around the perimeter, adjacent to the toilets, staircases and elevators, located in the outer part of the building. The Holcomb Institute contains research laboratories, meeting rooms, offices and a scientific library.

    El edificio de Ciencias y el Instituto de Investigación Holcomb forman parte, con sus 20.500 m2 construidos, del complejo científico de la Universidad de Butler. El esquema de organización adoptado para su desarrollo consiste en acoplar la nueva estructura en «L», originada por la unión de ambos edificios, a la ya existente, con el fin de concentrar las circulaciones peatonales en el gran patio rectangular creado. La nueva construcción alberga distintos tipos de laboratorios para estudiantes, agrupados en departamentos con salas de clase y de lectura localizadas en la planta baja. Por su parte el Instituto Holcomb distribuye laboratorios de investigación, seminarios, oficinas y biblioteca científica. En ambas estructuras los laboratorios están localizados en la zona central de cada planta, disponiéndose los corredores y oficinas en el perímetro, adyacentes a los servicios, escaleras y ascensores situados en la parte exterior de la edificación.

  10. Julia Butler Hansen NWR: Initial Survey Instructions for Multispecies Monitoring Survey

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Julia Butler Hansen Refuge for the Columbian White-tailed Deer (JBH) is a varied and dynamic system, much of which is still changing from the effects of levee...

  11. Julia Butler Hansen NWR: Initial Survey Instructions for Climate Change: Ground Water Level Monitoring

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Julia Butler Hansen Refuge for Columbian White-tailed Deer (JBH) manages over 5,600 acres of pastures, forested tidal swamps, brushy woodlots, marshes, and...

  12. Pensadoras de peso: o pensamento de Judith Butler e Adriana Cavarero Thinkers that matter: on the thought of Judith Butler and Adriana Cavarero

    Directory of Open Access Journals (Sweden)

    Olivia Guaraldo

    2007-12-01

    Full Text Available O texto expõe o ponto de vista de duas grandes filósofas feministas da atualidade, Adriana Cavarero e Judith Butler, sobre subjetividade e relacionalidade, mostrando como ambas distanciaram-se dos temas específicos do feminismo de maneira a aprofundar e ampliar suas reflexões sobre política e ética. Questionando a tradição, Cavarero não compactua nem com o binarismo metafísico nem com a impessoalidade pós-moderna, combinando uma perspectiva feminista com a arendtiana da subjetividade embasada na relacionalidade. No entanto, diferentemente do pensamento de Cavarero, sob a perspectiva desconstrucionista de Butler a linguagem molda corpo e identidade. A subjetividade está presa às normas e valores sociais. Butler e Cavarero repensam a subjetividade, alinhando-se quanto à relacionalidade, ou seja, deslocando a política para longe do ser imune e realocando-a no ser vulnerável em relação com o outro e com os efeitos das regras e valores sociais impostos.The work presents the standpoint of two important contemporary feminist philosophers, Adriana Cavarero and Judith Butler, on subjectivity and relationality, showing how both moved away from the specific feminism motif in order to deepen and broaden their reflection on politics and ethics. Calling tradition into question, Cavarero agrees neither with the metaphysical binary, nor with the post-modern impersonality, combining a feminist and the arendtian perspectives of the subjectivity based on relationality. Contrary to Cavarero's thought, though, under Butler's deconstructionist standpoint language shapes body and identity. Subjectivity is "trapped" into social norms and values. Both Butler and Cavarero rethink subjectivity based on relationality, that is, displacing politics from the immune individual and reallocating it on the vulnerable individual in relation with the other and with the social rules and values imposed on them.

  13. Novel pervasive scenarios for home management: the Butlers architecture.

    Science.gov (United States)

    Denti, Enrico

    2014-01-01

    Many efforts today aim to energy saving, promoting the user's awareness and virtuous behavior in a sustainability perspective. Our houses, appliances, energy meters and devices are becoming smarter and connected, domotics is increasing possibilities in house automation and control, and ambient intelligence and assisted living are bringing attention onto people's needs from different viewpoints. Our assumption is that considering these aspects together allows for novel intriguing possibilities. To this end, in this paper we combine home energy management with domotics, coordination technologies, intelligent agents, ambient intelligence, ubiquitous technologies and gamification to devise novel scenarios, where energy monitoring and management is just the basic brick of a much wider and comprehensive home management system. The aim is to control home appliances well beyond energy consumption, combining home comfort, appliance scheduling, safety constraints, etc. with dynamically-changeable users' preferences, goals and priorities. At the same time, usability and attractiveness are seen as key success factors: so, the intriguing technologies available in most houses and smart devices are exploited to make the system configuration and use simpler, entertaining and attractive for users. These aspects are also integrated with ubiquitous and pervasive technologies, geo-localization, social networks and communities to provide enhanced functionalities and support smarter application scenarios, hereby further strengthening technology acceptation and diffusion. Accordingly, we first analyse the system requirements and define a reference multi-layer architectural model - the Butlers architecture - that specifies seven layers of functionalities, correlating the requirements, the corresponding technologies and the consequent value-added for users in each layer. Then, we outline a set of notable scenarios of increasing functionalities and complexity, discuss the structure of the

  14. Novel pervasive scenarios for home management: the Butlers architecture.

    Science.gov (United States)

    Denti, Enrico

    2014-01-01

    Many efforts today aim to energy saving, promoting the user's awareness and virtuous behavior in a sustainability perspective. Our houses, appliances, energy meters and devices are becoming smarter and connected, domotics is increasing possibilities in house automation and control, and ambient intelligence and assisted living are bringing attention onto people's needs from different viewpoints. Our assumption is that considering these aspects together allows for novel intriguing possibilities. To this end, in this paper we combine home energy management with domotics, coordination technologies, intelligent agents, ambient intelligence, ubiquitous technologies and gamification to devise novel scenarios, where energy monitoring and management is just the basic brick of a much wider and comprehensive home management system. The aim is to control home appliances well beyond energy consumption, combining home comfort, appliance scheduling, safety constraints, etc. with dynamically-changeable users' preferences, goals and priorities. At the same time, usability and attractiveness are seen as key success factors: so, the intriguing technologies available in most houses and smart devices are exploited to make the system configuration and use simpler, entertaining and attractive for users. These aspects are also integrated with ubiquitous and pervasive technologies, geo-localization, social networks and communities to provide enhanced functionalities and support smarter application scenarios, hereby further strengthening technology acceptation and diffusion. Accordingly, we first analyse the system requirements and define a reference multi-layer architectural model - the Butlers architecture - that specifies seven layers of functionalities, correlating the requirements, the corresponding technologies and the consequent value-added for users in each layer. Then, we outline a set of notable scenarios of increasing functionalities and complexity, discuss the structure of the

  15. Howard Russell Butler's Oil Paintings of Solar Eclipses and Prominences

    Science.gov (United States)

    Pasachoff, Jay M.; Olson, Roberta J. M.

    2014-06-01

    Howard Russell Butler (1856-1934) was invited to join the US Naval Observatory expedition to the total solar eclipse of 1918 because of his ability to paint astronomical phenomena based on quickly-made notes about spatial and color details. His giant triptych of the total eclipses of 1918, 1923, and 1925 was proposed for a never-built astronomical center at the American Museum of Natural History and wound up at their Hayden Planetarium when it was constructed in the mid-1930s. Half-size versions are installed at the Fels Planetarium at the Franklin Institute in Philadelphia and at the Firestone Library of Princeton University, whose newly conserved canvases were recently hung; the Buffalo Museum of Science has another half-size version in storage. We discuss not only the eclipse triptychs but also the series of large oil paintings he made of solar prominences (in storage at the American Museum of Natural History) and of his 1932-eclipse and other relevant works.JMP was supported for this work in part by Division III Discretionary Funds and the Brandi Fund of Williams College. His current eclipse research is supported by grants AGS-1047726 from the Solar Research Program of the Atmospheric and Geospace Sciences Division of NSF and 9327-13 from the Committee for Research and Exploration of the National Geographic Society.

  16. William Butler Yeats in the Slovene cultural space

    Directory of Open Access Journals (Sweden)

    Janez Gorenc

    2002-12-01

    Full Text Available William Butler Yeats, Irish poet, dramatist and essayist, winner of the Nobel prize in 1923, was also widely known for the active  part he played in Irish politics. Even though he was mostly involved culturally - he wro.te about Irish politics in his works, established several literary clubs, founded theatres - he also activated  himself  as a politician when he was a senator during the years 1923-1928. This article focuses on the mention of his political activities in different English and Slovene texts. It makes a presentation of the vast majority of the texts on Yeats that have appeared in Slovene. It also points out that while the majority of English encyclopaedias and literary histories openly write about Yeats's politics, Slovene texts about Yeats focus mostly on his literary opus and less on his involvement in politics. When they do mention it, however, they usually avoid the details. This article tries to determine some reasons for this fact.

  17. 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

  18. 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

  19. Rezension zu: Judith Butler: Krieg und Affekt. Zürich u.a.: diaphanes 2009.

    Directory of Open Access Journals (Sweden)

    Rolf Löchel

    2009-10-01

    Full Text Available Seit einigen Jahren nimmt die gender-Theoretikerin Judith Butler in zunehmendem Maße auch Themen der politischen Ethik in den Blick. Ihre in den drei Texten des schmalen Bandes vorgetragene pazifistische Ideen und ihre Überlegungen angesichts des Irak-Kriegs, aber auch zur Burka oder der universellen Geltung von Menschenrechten sind allerdings nicht immer so originell oder gar überzeugend wie Butlers bahnbrechenden gender-theoretischen Entwürfe während der ersten Hälfte der 1990er Jahre.

  20. Vulnerability, gender norms and state violence: social ontology and sexual politics in the last Judith Butler

    Directory of Open Access Journals (Sweden)

    Eduardo Mattio

    2010-12-01

    Full Text Available In his recent work, Judith Butler has offered a reconsideration of “the human” that allow re-imagine the boundaries of political community. Underlining the common precariousness that characterizes “the human” and revealing the symbolic and material conditions that politically maximize that situation, Butler gives us useful tools not only to elucidate the selective mechanisms that produce "the human" but also to subvert the normative horizon that determined it. From such assumptions, I understand that one can propose some considerations that permit the design of sexual politics more responsive to the needs of the most precarious groups of LGBT collective.

  1. [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)

  2. Octavia Butler and Virginia Hamilton: Black Women Writers and Science Fiction.

    Science.gov (United States)

    Hampton, Gregory Jerome; Brooks, Wanda M.

    2003-01-01

    Notes that African American literature has always had science fiction elements in its focus on narratives of the alienated and marginalized "other." Contends that Octavia Butler and Virginia Hamilton are two African American writers of science fiction who examine the connections between the stories of a culture and the genre of science fiction.…

  3. What the Butler Saw: Lee Daniels's Studies in Biography and History

    Science.gov (United States)

    Beck, Bernard

    2014-01-01

    The movie "Lee Daniels' The Butler" is an example of a work that is meant not only to entertain but to convey an important attitude and offer important viewpoints. The movie deals with a deep issue in the history of movies and the history of the country: racial inequality. Three issues are discussed in this article: (a) African…

  4. Reviving the Dead Butler? Towards a Review of Aspects of National Literacy Strategy Grammar Advice

    Science.gov (United States)

    Wales, Lynn

    2009-01-01

    In his 2004 article "How was a dead butler killed: The way English national strategies maim grammatical parts" published in "Language and Education" 18, no. 1, Wasyl Cajkler calls for a review of grammar advice to teachers in the UK National Literacy Strategy (NLS) materials. His evidence demonstrates clearly that NLS grammar advice is "a…

  5. Teaching Feminist Theory via Philosophy: Political Implications of an Ontological Inquiry in Judith Butler's "Gender Trouble."

    Science.gov (United States)

    Artese, Brian

    Rather than begin an undergraduate class in feminist theory with the assertion that such theory is important because of its social implications--and then attempt to prove it--it is more effective to begin with a more neutral philosophical discussion that will act as a foundation for its premises. Judith Butler's essay "Gender Trouble" becomes an…

  6. Judith Butler and the Public Dimension of the Body: Education, Critique and Corporeal Vulnerability

    Science.gov (United States)

    Vlieghe, Joris

    2010-01-01

    In this paper I discuss some thoughts Judith Butler presents regarding corporeal vulnerability. This might help to elucidate the problem of whether critical education is still possible today. I first explain why precisely the possibility of critique within education is a problem for us today. This is because the traditional means of enhancing a…

  7. First record of Thelyphonus sepiaris (Butler 1873 (Uropygi: Thelyphonidae from Andhra Pradesh, India

    Directory of Open Access Journals (Sweden)

    S.M.M. Javed

    2009-07-01

    Full Text Available During the preparation of an arachnid faunal inventory of Nallamalai Hills and Papikonda Hills of Eastern Ghats and Eturnagaram Wildlife Sanctuary, Andhra Pradesh, three mature male specimens of whip-scorpions were collected and identified as Thelyphonus sepiaris (Butler 1873. The species is being recorded here for the first time from Andhra Pradesh, India.

  8. 关于 ann-内射模和ann-平坦模%Ann--injective Modules and Ann--flat Modules

    Institute of Scientific and Technical Information of China (English)

    陈强

    2007-01-01

    A left R-module E is ann-injective provided that every R-homomorphism from an finitelygenerated right annihilator ideal r(L) of R to E can be extended to R. We say that a left R-module M is ann-flat in case for every finitely generated right annihilator ideal r(L) of R,we have the exact sequence 0→r(L) (×)RM→RR(×)M. In this articfle, we prove that a left R--module B is ann--flat if and only if itscharacteristic module B* =HmomR(B,Q/Z) is ann--injective.%左 R-模 E 是 ann-内射的,如果对于R的每个有限生成右零化子理想r(L)到R的R-模同态都能延拓为到E的 R-模同态.同样.我们称左R-模M是ann-平坦的如果对于R的每个有限生成右零化子理想r(L),都可以得到正合列O→r(L) (×)RM→RR(×)M.在本文中,我们证明了R-模B是ann-平坦的当且仅当它的示性模B*=HomR(B,Q/Z)是ann-内射的.

  9. Pensadoras de peso: o pensamento de Judith Butler e Adriana Cavarero Thinkers that matter: on the thought of Judith Butler and Adriana Cavarero

    OpenAIRE

    Olivia Guaraldo

    2007-01-01

    O texto expõe o ponto de vista de duas grandes filósofas feministas da atualidade, Adriana Cavarero e Judith Butler, sobre subjetividade e relacionalidade, mostrando como ambas distanciaram-se dos temas específicos do feminismo de maneira a aprofundar e ampliar suas reflexões sobre política e ética. Questionando a tradição, Cavarero não compactua nem com o binarismo metafísico nem com a impessoalidade pós-moderna, combinando uma perspectiva feminista com a arendtiana da subjetividade embasada...

  10. Some comments on the Butler-Volmer equation for modeling Lithium-ion batteries

    CERN Document Server

    Ramos, A M

    2015-01-01

    In this article the Butler-Volmer equation used in describing Lithium-ion (Li-ion) batteries is discussed. First, a complete mathematical model based on a macro-homogeneous approach developed by Neuman is presented. Two common mistakes found in the literature regarding a sign in a boundary conditions and the use of the transfer coefficient are mentioned. The paper focuses on the form of the Butler-Volmer equation in the model. It is shown how practical problems can be avoided by taking care in the form used, particularly to avoid difficulties when the solid particle in the electrodes approaches a fully charged or discharged state or the electrolyte gets depleted. This shows that the open circuit voltage and the exchange current density must depend on the lithium concentration in both the solid and the electrolyte in a particular way at the extremes of the concentration ranges.

  11. Identidad de género y cuerpo: articulaciones desde el pensamiento de Judith Butler

    OpenAIRE

    Martínez, Ariel

    2012-01-01

    El presente trabajo forma parte de un plan de investigación denominado “El proceso de constitución de la identidad de género: aportes teóricos de Judith Butler para una reconceptualización”. Allí se intenta examinar la complejidad de los aportes en relación a la categoría de la identidad de género presentes en el pensamiento de Judith Butler, al tiempo que se detectan en su obra líneas argumentativas que reordenen las producciones teóricas contemporáneas respecto a la constitución de la ident...

  12. A Design and Analysis of Dolph-Chebyshev Microstrip Planar Array Using Butler Matrix Beamforming Networks

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The design and analysis of special type beamformer, the Butler matrix, to achieve orthogonal beamforming networks is presented in this paper. A 4×4 microstrip planar array antenna is assumed to simulate a 4×4 Butler matrix to demonstrate orthogonal beamforming and beam steering. The dimensions of rectangular patches in the planar array are chosen according to the Dolph-Chebyshev current distribution in order to minimize the side-lobe level ratio for a given value of beamwidth. The simulations are carried out using an antenna design and analysis software PCAAD. It is shown that orthogonal beams can be formed to cover about 163° angle with a constant beam crossover level and high directivity.

  13. Book review: notes toward a performative theory of assembly by Judith Butler

    OpenAIRE

    Bushnell, Alexis

    2016-01-01

    In Notes Toward a Performative Theory of Assembly, Judith Butler draws upon her influential theorisations of performativity and precarity to examine the politics of public assembly, discussing such themes as the crucial bodily component to acting in concert as well as the role of media. This accessible account is highly relevant to contemporary movements such as Black Lives Matter, and will be of use to those working across the humanities and the social sciences as well as activists, writes A...

  14. Taxonomic status and redescription of Magneuptychia nebulosa (Butler, 1867 (Lepidoptera, Nymphalidae, Satyrinae with a lectotype designation

    Directory of Open Access Journals (Sweden)

    Shinichi Nakahara

    2015-05-01

    Full Text Available A redescription of Magneuptychia nebulosa (Butler, 1867, a poorly known euptychiine butterfly, is given here, and accurate distributional data are provided for the first time. Taxonomic status of this taxon has been discussed by comparing its morphology against its possible congeners. In addition, lectotype designation for M. nebulosa is provided in order to objectively establish the identity of this taxon and consequently stabilize the nomenclature.

  15. Taxonomic status and redescription of Magneuptychia nebulosa (Butler, 1867) (Lepidoptera, Nymphalidae, Satyrinae) with a lectotype designation

    Science.gov (United States)

    Nakahara, Shinichi; Marín, Mario Alejandro; Ríos-Málaver, Cristóbal

    2015-01-01

    Abstract A redescription of Magneuptychia nebulosa (Butler, 1867), a poorly known euptychiine butterfly, is given here, and accurate distributional data are provided for the first time. Taxonomic status of this taxon has been discussed by comparing its morphology against its possible congeners. In addition, lectotype designation for Magneuptychia nebulosa is provided in order to objectively establish the identity of this taxon and consequently stabilize the nomenclature. PMID:26019673

  16. Lady Butler: The Reinvention of Military History L'histoire militaire réinventée : le cas de Lady Butler

    Directory of Open Access Journals (Sweden)

    Claire Bowen

    2009-11-01

    Full Text Available Très appréciées par les visiteurs des Royal Academy Shows de 1874 et 1876 et ensuite par le grand public, les représentations des guerres napoléoniennes et de la campagne de Crimée dans les tableaux d'Elizabeth Butler marquent un tournant décisif dans la peinture de guerre anglo-saxonne. Fortement influencée par les français Meissonier et de Neuville, Butler s'intéresse davantage aux simples soldats qu'aux généraux, aux scènes d'avant et d’après-bataille qu'au moment même du combat. Son regard, qui se veut direct et réaliste, se porte sur les acteurs ordinaires de la guerre, présentés à la fois en héros et en simples citoyens. Cette représentation trouve une profonde résonance auprès d'un public victorien ému par le courage et la souffrance des troupes et friand de cette version de l'histoire militaire qui place le citoyen britannique ordinaire au cœur de l'aventure politique du XIXe siècle.

  17. Judith Butler: Krieg und Affekt. Zürich u.a.: diaphanes 2009.

    Directory of Open Access Journals (Sweden)

    Rolf Löchel

    2009-11-01

    Full Text Available Seit einigen Jahren nimmt die gender-Theoretikerin Judith Butler in zunehmendem Maße auch Themen der politischen Ethik in den Blick. Ihre in den drei Texten des schmalen Bandes vorgetragene pazifistische Ideen und ihre Überlegungen angesichts des Irak-Kriegs, aber auch zur Burka oder der universellen Geltung von Menschenrechten sind allerdings nicht immer so originell oder gar überzeugend wie Butlers bahnbrechenden gender-theoretischen Entwürfe während der ersten Hälfte der 1990er Jahre.For a number of years the gender theorist Judith Butler has been increasingly concerned with topics related to political ethics. The three texts in the slim volume contain her ideas of pacifism and her thoughts prompted by the Iraq war as well as on burkas or the universal import of human rights. These texts are, however, not always as original or even convincing as Butler’s groundbreaking gender theoretical models of the first half of the 1990s.

  18. Miniaturization Design for 8 × 8 Butler Matrix Based on Back-to-Back Bilayer Microstrip

    Directory of Open Access Journals (Sweden)

    Yu Zhai

    2014-01-01

    Full Text Available A low-cost, compact 8 × 8 Butler matrix based on a novel bilayer microstrip configuration is presented and implemented for 4.3 GHz telecommunication application. A back-to-back placed bilayer microstrip structure has been proposed to avoid using crossover. To expand operational bandwidth of the Butler matrix, a three-branch line directional coupler has been employed as 3 dB/90° bridge, and a kind of improved two-order Schiffman phase shifter has been adopted as fixed phase shifter. For application of indoor wireless communication, a compact broadband 8 × 8 Butler matrix has been designed and fabricated. The measured results show that the return loss of the matrix is lower than −10 dB, the isolation is better than 17 dB, the power distribution error is less than ±2.0 dB, the phase error is less than ±15°, and the relative bandwidth is more than 23%.

  19. 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.

  20. A new perspective on the electron transfer: recovering the Butler-Volmer equation in non-equilibrium thermodynamics.

    Science.gov (United States)

    Dreyer, Wolfgang; Guhlke, Clemens; Müller, Rüdiger

    2016-09-28

    Electron transfer reactions are commonly described by the phenomenological Butler-Volmer equation which has its origin in kinetic theories. The Butler-Volmer equation relates interfacial reaction rates to bulk quantities like the electrostatic potential and electrolyte concentrations. Although the general structure of the equation is well accepted, for modern electrochemical systems like batteries and fuel cells there is still intensive discussion about the specific dependencies of the coefficients. A general guideline for the derivation of Butler-Volmer type equations is missing in the literature. We derive very general relations of Butler-Volmer structure which are based on a rigorous non-equilibrium thermodynamic model and allow for adaption to a wide variety of electrochemical systems. We discuss the application of the new thermodynamic approach to different scenarios like the classical electron transfer reactions at metal electrodes and the intercalation process in lithium-iron-phosphate electrodes. Furthermore we show that under appropriate conditions also adsorption processes can lead to Butler-Volmer equations. We illustrate the application of our theory by a strongly simplified example of electroplating. PMID:27560993

  1. Broadband Butler Matrices with the Use of High-Pass LC Sections as Left-Handed Transmission Lines

    Directory of Open Access Journals (Sweden)

    K. Staszek

    2014-04-01

    Full Text Available An application of left-handed transmission line sections in Butler matrices has been investigated. It has been shown, for the first time, that the utilization of both left-handed and right-handed transmission lines allows for broadband differential phase shifters’ realization, required in the Butler matrices. A complete theoretical analysis is given, for Butler matrices incorporating ideal transmission lines of both right- and left handed types and expressions for the achievable bandwidth and differential phase deviation are derived. The presented idea has been verified by the design of a 4 x 4 Butler matrix operating in a frequency range of 2.5 – 3.5 GHz. As an artificial left-handed transmission line, an equivalent high-pass LC circuit realized in a quasi-lumped element technique, has been considered, and the resulting phase shift of such a circuit is given analytically. The obtained measurement results fully confirm the validity of the proposed idea of broadband Butler matrices’ realization.

  2. ‘His father’s voice’: Phonographs and Heredity in the Fiction of Samuel Butler

    Directory of Open Access Journals (Sweden)

    Will Abberley

    2014-05-01

    Full Text Available The article explores the interaction between concepts of heredity and technologies of voice recording and reproduction in the late-Victorian imagination through the example of Samuel Butler. Butler’s writing on evolutionary topics frequently conceptualized heredity as a record of ancestral voices echoing through their descendants. His Lamarckian view of evolution caused him to present heredity as analogous to the phonograph, recording the experiences of individuals, storing them in the germ plasm and reproducing them in the offspring. Theorists of hereditary memory such as Ewald Hering described it as a form of vibration and inscription, emphasizing its parallels with phonography. At the same time, language and the physical voice seemed equally haunted for Butler, resonating with the thoughts, feelings, and urges of past generations. I pursue these themes through a close reading of his posthumously published novel The Way of All Flesh' (1903. Butler makes an interesting case study for this subject since his ideas about the inheritance of ancestral voices were inseparable from his complex personal relations with his family. His efforts to escape the influence of his parents were bound up with the notion of escaping the habitual ‘grooves’ in which they lived, thought, and spoke. Such escape sometimes seems impossible in Butler’s vision, with long-term heredity and immediate social convention rendering people echoes of their predecessors. However, the life experience of the individual offered possibilities for breaking with the voices of the past, etching new grooves of habit and redirecting old ones. Further, heredity in Butler’s vision was not a single, commanding voice but a cacophony of competing voices screaming to be heard. In this sense, what seemed like rebellion against the voice of one’s ancestor might turn out to be obedience towards another one. Butler conceived of intellectual influence in the same way, placing thinkers and

  3. Subjectivation and Performative Politics--Butler Thinking Althusser and Foucault: Intelligibility, Agency and the Raced-Nationed-Religioned Subjects of Education

    Science.gov (United States)

    Youdell, Deborah

    2006-01-01

    Judith Butler is perhaps best known for her take-up of the debate between Derrida and Austin over the function of the performative and her subsequent suggestion that the subject be understood as performatively constituted. Another important but less often noted move within Butler's consideration of the processes through which the subject is…

  4. Ilmus artiklikogumik "Eesti teadlased paguluses" / Anne Valmas

    Index Scriptorium Estoniae

    Valmas, Anne, 1941-

    2009-01-01

    TLÜ AR väliseesti kirjanduse keskuse ja TTÜ Raamatukogu koostöös 24.03.2009 toimunud konverentsist "Eesti teadlased paguluses", mis tutvustas väliseesti teadlaste osa maailmateaduses. Ettekannete põhjal valminud artiklikogumikust "Eesti teadlased paguluses", koostajad Vahur Mägi ja Anne Valmas. Tallinn : Tallinna Ülikooli Kirjastus, 2009

  5. 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

  6. Tras la firma de Judith Butler: Una introducción posible a los ecos de su escritura

    Directory of Open Access Journals (Sweden)

    Leticia Sabsay

    2009-09-01

    Full Text Available El presente texto es un breve recorrido sobre la obra de Judith Butler. Se consideran sus principales temáticas, tales como las normas de género mediante las cuales somos subjetivados y la posibilidad de una ética política que dé sustento a la crítica de la violencia del estado nación o la crítica al sujeto liberal. En las lecturas de Butler se recorre la revisión de autores, entre otros como Foucault, Derrida, Adorno, Bajtin, Benjamin, Arendt, Levinas o Freud.

  7. Rezension zu: Judith Butler: Die Macht der Geschlechternormen und die Grenzen des Menschlichen. Frankfurt am Main: Suhrkamp Verlag 2009

    Directory of Open Access Journals (Sweden)

    Ruben Marc Hackler

    2009-07-01

    Full Text Available Judith Butler beschäftigt sich in dieser Aufsatzsammlung mit den politischen und rechtlichen Anliegen von Homo- und Transsexuellen. Im Mittelpunkt stehen die Menschenrechte und die gesetzlichen Bestimmungen, durch die homosexuelle Paare bei der Familiengründung benachteiligt werden. Der Bedarf nach einer theoretisch gehaltvollen Kritik und nach praktischen Verbesserungen ist groß. Exemplarisch analysiert Butler den öffentlich verhandelten Fall einer operativen Geschlechtsveränderung, in dem weder die Kritiker/-innen noch die Befürworter/-innen ausreichend darauf eingingen, was sich die betroffene Person wünschte. Ein Schwachpunkt des Bandes liegt im vieldeutigen Gebrauch des Begriffs Gender.

  8. A Practical Qualitative+Quantitative Method-S-ANN

    Institute of Scientific and Technical Information of China (English)

    GUAN Wei; SHEN Jin-sheng; LI Peng-fei

    2002-01-01

    In this paper, a practical qualitative +quantitative method named S-ANN is proposed as a forecasting tool, in which the artificial neural network (ANN) of AI is used to handle the quantitative knowledge and the SCENARIO method of systems engineering is used to handle the qualitative knowledge respectively. As a case study, S-ANN method is employed to forecast the ridership of Beijing public transportation, the results show that S-ANN method possesses advantages of feasibility and easily to operate.

  9. The Politics of Performative Resignification: Translating Judith Butler's Theoretical Discourse and Its Potential for a Sociology of Education

    Science.gov (United States)

    Hey, Valerie

    2006-01-01

    More than any other recent social theorist, constructing a disquisition on Butler's ideas draws the writer into speculating on the formation of their own intellectual grammar, perhaps to confront the disconcerting truth of how often their own cherished analytical rationality is broken up by glimpses into the imagination of more provocative…

  10. Judith Butler: Die Macht der Geschlechternormen und die Grenzen des Menschlichen. Frankfurt am Main: Suhrkamp Verlag 2009

    Directory of Open Access Journals (Sweden)

    Ruben Marc Hackler

    2009-07-01

    Full Text Available Judith Butler beschäftigt sich in dieser Aufsatzsammlung mit den politischen und rechtlichen Anliegen von Homo- und Transsexuellen. Im Mittelpunkt stehen die Menschenrechte und die gesetzlichen Bestimmungen, durch die homosexuelle Paare bei der Familiengründung benachteiligt werden. Der Bedarf nach einer theoretisch gehaltvollen Kritik und nach praktischen Verbesserungen ist groß. Exemplarisch analysiert Butler den öffentlich verhandelten Fall einer operativen Geschlechtsveränderung, in dem weder die Kritiker/-innen noch die Befürworter/-innen ausreichend darauf eingingen, was sich die betroffene Person wünschte. Ein Schwachpunkt des Bandes liegt im vieldeutigen Gebrauch des Begriffs Gender.Judith Butler focuses in this collection of essays on the political and legal concerns of homo- and transsexuals. She concentrates on human rights and statutory provisions through which homosexual pairs are discriminated against in family planning. There exists a great need for a theoretically rich critique and for practical improvements. Butler exemplarily analyses the publically debated case of an operative sex change, in which neither the critics nor the supporters sufficiently notes the concerned person’s own wishes. The weakness of the volume lies in the ambiguous use of the term gender.

  11. 75 FR 47301 - Cedro Hill Wind LLC; Butler Ridge Wind Energy Center, LLC; High Majestic Wind Energy Center, LLC...

    Science.gov (United States)

    2010-08-05

    ...; EG10-36-000; EG10-37-000; EG10-38-000] Cedro Hill Wind LLC; Butler Ridge Wind Energy Center, LLC; High Majestic Wind Energy Center, LLC; Wessington Wind Energy Center, LLC; Juniper Canyon Wind Power LLC; Loraine Windpark Project, LLC; White Oak Energy LLC; Meadow Lake Wind Farm III LLC; Meadow Lake Wind...

  12. 'A vehicle of symbols and nothing more'. George Romanes, theory of mind, information, and Samuel Butler.

    Science.gov (United States)

    Forsdyke, Donald R

    2015-09-01

    Today's 'theory of mind' (ToM) concept is rooted in the distinction of nineteenth-century philosopher William Clifford between 'objects' that can be directly perceived and 'ejects', such as the mind of another person, which are inferred from one's subjective knowledge of one's own mind. George Romanes, a founder with Charles Darwin of the discipline of comparative psychology, considered the minds of animals as ejects, an idea that could be generalized to 'society as eject' and, ultimately, 'the world as an eject' - mind in the universe. Yet, Romanes and Clifford only vaguely connected mind with the abstraction we call 'information', which needs 'a vehicle of symbols' - a material transporting medium. However, Samuel Butler was able to address, in informational terms depleted of theological trappings, both organic evolution and mind in the universe. This view harmonizes with insights arising from modern DNA research, the relative immortality of 'selfish' genes, and some startling recent developments in brain research. PMID:26254127

  13. 'A vehicle of symbols and nothing more'. George Romanes, theory of mind, information, and Samuel Butler.

    Science.gov (United States)

    Forsdyke, Donald R

    2015-09-01

    Today's 'theory of mind' (ToM) concept is rooted in the distinction of nineteenth-century philosopher William Clifford between 'objects' that can be directly perceived and 'ejects', such as the mind of another person, which are inferred from one's subjective knowledge of one's own mind. George Romanes, a founder with Charles Darwin of the discipline of comparative psychology, considered the minds of animals as ejects, an idea that could be generalized to 'society as eject' and, ultimately, 'the world as an eject' - mind in the universe. Yet, Romanes and Clifford only vaguely connected mind with the abstraction we call 'information', which needs 'a vehicle of symbols' - a material transporting medium. However, Samuel Butler was able to address, in informational terms depleted of theological trappings, both organic evolution and mind in the universe. This view harmonizes with insights arising from modern DNA research, the relative immortality of 'selfish' genes, and some startling recent developments in brain research.

  14. El papel del travestismo en el pensamiento político de Judith Butler

    Directory of Open Access Journals (Sweden)

    Mariela Nahir Solana

    2014-11-01

    Full Text Available El objetivo de este artículo es examinar el papel del travestismo en la obra temprana de Judith Butler. Para ello, se mostrará la importancia del análisis de las actuaciones travestis en El género en disputa en relación con su concepción de la performatividad de género y de la subversión política. A su vez, se evaluarán algunas críticas a su pensamiento político, en general, y a su tratamiento de la parodia drag, en particular, y se demostrará de qué modo ambos tópicos han evolucionado en su libro posterior

  15. Wind Power Forecasting techniques in complex terrain: ANN vs. ANN-CFD hybrid approach

    Science.gov (United States)

    Castellani, Francesco; Astolfi, Davide; Mana, Matteo; Burlando, Massimiliano; Meißner, Cathérine; Piccioni, Emanuele

    2016-09-01

    Due to technology developments, renewable energies are becoming competitive against fossil sources and the number of wind farms is growing, which have to be integrated into power grids. Therefore, accurate power forecast is needed and often operators are charged with penalties in case of imbalance. Yet, wind is a stochastic and very local phenomenon, and therefore hard to predict. It has a high variability in space and time and wind power forecast is challenging. Statistical methods, as Artificial Neural Networks (ANN), are often employed for power forecasting, but they have some shortcomings: they require data sets over several years and are not able to capture tails of wind power distributions. In this work a pure ANN power forecast is compared against a hybrid method, based on the combination of ANN and a physical method using computational fluid dynamics (CFD). The validation case is a wind farm sited in southern Italy in a very complex terrain, with a wide spread turbine layout.

  16. Revisión y bionomía del género Syncirsodes Butler 1882 (Lepidoptera: Geometridae Revision and bionomy of the genus Syncirsodes Butler 1882 (Lepidoptera: Geometridae

    Directory of Open Access Journals (Sweden)

    PATRICIA A. BOCAZ

    2005-03-01

    Full Text Available El género Syncirsodes Butler 1882, es redefinido y las especies son taxonómicamente revisadas y redescritas. Las especies que conforman el género son las siguientes: S. primata (Walker 1862, S. subornata (Walker 1863, S. straminea (Butler 1882, S. distictaria (Mabille 1885 y S. hyadesi (Mabille 1885. El ejemplar alotipo de la especie A. primata Walker (1862 corresponde a la hembra de S. distictaria. Las especies deustata Felder & Rogenhofer (1875 y arenosa, carnea, cinerea, squamosa y turbida descritas por Butler (1882 son los sinónimos junior de S. primata Walker (1862. La ausencia de la armadura genital del material tipo y la falta de otros ejemplares nos hace mantener como válida la especie S. subornata. El género se distribuye principalmente en la región Andina, solo S. subornata se encuentra en la provincia Pampa. Se describen además los estados inmaduros y la bionomía de S. distictaria y S. primata. Se entregan claves, dibujos de la genitalia, la distribución y fotografías de las diferentes especiesThe genus Syncirsodes Butler 1882 is redefined and its species are taxonomically revised and described. The species are as follows: S. distictaria (Mabille 1885, S. primata (Walker 1862, S. hyadesi (Mabille 1885, S. straminea (Butler 1882 and S. subornata (Walker 1863. The specimen allotype of A. primata Walker (1862 corresponds to the female of S. distictaria. The species deustata Felder & Rogenhofer (1875 and arenosa, carnea, cinerea, squamosa and turbida described by Butler (1882 are junior synonyms of S. primata Walker (1862. The absence of the genitalia of the type and the lack of other specimens make us maintain to S. subornata as a valid species. The genus is distributed mainly in the Andean region, only S. subornata is in the Pampa province. Immature stages and bionomy of S. distictaria and S. primata are described, and an identification key, data on the distribution as well illustrations of the adult moths are provided

  17. Kui vana on kunstnik? / Anneli Porri

    Index Scriptorium Estoniae

    Porri, Anneli, 1980-

    2003-01-01

    Rahvusvahelise kunstihariduse konverentsi "InSea on Sea" raames Kunstiakadeemia galeriis Karin Laansoo kureeritud Tallinna Kunstikooli õpilaste tööde näitus "MÄRKmed", Draakoni galeriis Mari Sobolevi kureeritud Viljandi Maagümnaasiumi kunstistuudio näitus "Sisseastumiseksam maailma", rahvusraamatukogus Anneli Porri kureeritud näitus "Kokkuvõte" EKA tänavuste lõpetajate töödest ja näitus "Leitud tagahoovist", Kullo galeriis rahvusvaheline näitus "Dialoog erinevuste vahel"

  18. Marie-Anne Paveau, Le discours pornographique

    OpenAIRE

    Millepied, Anne-Charlotte

    2014-01-01

    À la suite du monde anglo-saxon, le champ des Porn Studies émerge en France. La pornographie, objet d’étude longtemps resté illégitime, commence à être explorée par les sciences sociales, comme en témoignent les travaux de Mathieu Trachman ou François-Ronan Dubois. Le présent ouvrage participe de cette nouvelle dynamique, en examinant la dimension discursive de la pornographie. C’est en effet en tant qu’analyste du discours que Marie-Anne Paveau s’intéresse à ce sujet encore inexistant en lin...

  19. Fresh Paint: Brueghel Revisited by Anne Simpson

    OpenAIRE

    Barragão, Fernando Pedro Cleto Rodrigues

    2011-01-01

    Anne Simpson’s “Seven Paintings by Brueghel” is a crown of sonnets, a specific way of exploring the possibilities of the sonnet as a fixed form. Rather than dwelling on the noble history of this technical exploit, though, we are to observe the relation between Simpson’s text and the paintings by Brueghel she draws ideas from. We intend to examine in detail how Simpson paints her own images over Brueghel’s, while never losing sight of the Flemish painter’s stark imagery. Also important for our...

  20. Lewis and Clark National Wildlife Refuge and Julia Butler Hansen Refuge for the Columbian White-tailed Deer: Comprehensive Conservation Plan and Environmental Impact Statement

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Comprehensive Conservation Plan (CCP) was written to guide management on Lewis and Clark NWR and Julia Butler Hansen Refuge for the Columbian White-tailed Deer...

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

    Index Scriptorium Estoniae

    Randla, Anneli

    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.

  2. Nonlinear Modeling of Si/SiGe HBT Using ANN

    OpenAIRE

    Taher, H.; Schreurs, D; Vestiel, E.; Gillon, R; Nauwelaers, B.

    2004-01-01

    We present a large signal model for Si/SiGe HBTs using an Artificial Neural Network (ANN). The ANN is used to model the DC non-linearities of the intrinsic device. In this way, physical phenomena such as nonideal leakage currents and the Kirk effect can be modeled without time-consuming extraction. Capacitive nonlinearities are modeled by the well-known relationship between the capacitance and the junction voltage, ignoring the diffusion capacitance. By comparing ANN mode...

  3. ANN valuation model of material LCIA profile

    Institute of Scientific and Technical Information of China (English)

    CHEN Wei-ping; LIU Hua; ZHAO Hai-dong; ZHU Quan-li; LI Yuan-yuan

    2005-01-01

    Weighting model is the only valuation model of life cycle impact assessment(LCIA) profile now.It simplifies evaluation function into linear function,and makes the determination of weighting factor complicated.Therefore the valuation of LCIA profile is the most critical and controversial step in life cycle assessment(LCA).Development on valuation models,which are understood easily and accepted widely,is urgently needed in the field of LCA.The modeling approaches for the linear evaluation function were summed up.The modeling approaches for the nonlinear evaluation function were set up by function approximation theory,which include choosing preference products,forming preference data,establishing artificial neural network(ANN) and training ANN by preference data.By selecting 7 material products as preference product,experience was done with modeling approaches of the nonlinear evaluation function.The results show that the modeling approaches and valuation model of the nonlinear evaluation function are more practical than the weighting model.

  4. Breaking the silence: Power relations and sexual violence in Octavia E. Butler's Kindred and Valerie Martin's Property

    OpenAIRE

    Nordtveit, Hege

    2013-01-01

    Octavia E. Butler's Kindred (2003) and Valerie Martin's Property (2003) revisit slavery as a site of memory and offer alternative perspectives on America's history, which critique and complement the historical master narrative. The thesis explores the authors' narrative strategies in relation to politics of racism and sexism and focuses on the objectification of the African American woman. Through their exploration of chattel slavery the texts disclose and critique ...

  5. LA HETEROSEXUALIDAD COMO CATEGORÍA POLÍTICA DE CONTROL: DESDE SIMONE DE BEAUVOIR HASTA JUDITH BUTLER

    Directory of Open Access Journals (Sweden)

    María Begoña Sánchez Torrejón

    2015-06-01

    Full Text Available En el presente artículo planteo un recorrido histórico a través de los textos de Gayle Rubin, Monique Wittig y Adrienne Rich, hasta llegar al libro El sexo en disputa de Judith Butler. Todo con el fi n de realizar una refl exión crítica sobre la heterosexualidad como categoría política de control social, instaurada desde el patriarcado a través de los discursos establecidos desde el poder dominante.La posibilidad de romper las relaciones del poder, con las construcciones de una amplia diversidad de identidades sexuales, es un acto político de subversión al poder establecido, que rompe las relaciones de poder que perpetúan y mantienen la heterosexualidad como único modelo a seguir. Judith Butler nos invita a un acto valiente y de verdadero ejercicio de la libertad: trascender el género. AbstractIn this paper, a study is conducted using a historical tour based on Gayle Rubin, Monique Wittig and Adrienne Rich texts and the paper Sex in dispute by Judith Butler. This paper has the purpose of making a critical refl ection about heterosexuality as a political category of social control imposed by patriarchy through established discourses from dominant powers. With the construction of a wide variety of sexual identities, it is possible to break the power relationship. It is considered a political act to subvert the established power, which perpetuates and maintains heterosexuality as the only model. Judith Butler invites us to perform a courageous act and true exercise of freedom, transcending the gender.

  6. My Most Memorable AAS Meeting-December 1957, Butler University, Indianapolis, Indiana

    Science.gov (United States)

    Edmondson, F. K.

    1999-05-01

    My attendance at AAS meetings began with the 46th meeting in September 1931 at the brand new Perkins Observatory. This was the first semester of my junior year at Indiana University. Professor Wilbur Cogshall, my astronomy professor, took me to the meeting, and paid my expenses for dormitory accommodations and meals. Hence, my attendance at AAS meetings covers a span of nearly 68 years. There have been so many "memorable" meetings that it is hard to pick just one. However, the 99th meeting in December 1957 at Butler University in Indianapolis, a joint meeting with the AAAS, is memorable because I was in a wheel chair and using crutches, following an injury to my right knee cap. I was a member of the AAAS Committee to select the "best paper" presented at the meeting to receive the Newcomb Cleveland Prize, and Martin Schwarzschild's first report of results from Project Stratoscope was on the program. I showed up at the Committee meeting in my wheel chair, and nominated Martin's paper for the "best paper" award. The Committee asked a lot of questions and then approved the paper by a unanimous vote. The wheel chair and crutches obviously played a role in convincing the Committee that I had strong feelings about the merits of Martin's paper. Allan Sandage was the Warner Prize Lecturer, and reported on the current status of his revision of the cosmic distance scale. Hubble's 1936 distances needed to be increased by a factor of five to ten.

  7. A mobile Virtual Butler to bridge the gap between users and ambient assisted living: a Smart Home case study.

    Science.gov (United States)

    Costa, Nuno; Domingues, Patricio; Fdez-Riverola, Florentino; Pereira, António

    2014-01-01

    Ambient Intelligence promises to transform current spaces into electronic environments that are responsive, assistive and sensitive to human presence. Those electronic environments will be fully populated with dozens, hundreds or even thousands of connected devices that share information and thus become intelligent. That massive wave of electronic devices will also invade everyday objects, turning them into smart entities, keeping their native features and characteristics while seamlessly promoting them to a new class of thinking and reasoning everyday objects. Although there are strong expectations that most of the users' needs can be fulfilled without their intervention, there are still situations where interaction is required. This paper presents work being done in the field of human-computer interaction, focusing on smart home environments, while being a part of a larger project called Aging Inside a Smart Home. This initiative arose as a way to deal with a large scourge of our country, where lots of elderly persons live alone in their homes, often with limited or no physical mobility. The project relies on the mobile agent computing paradigm in order to create a Virtual Butler that provides the interface between the elderly and the smart home infrastructure. The Virtual Butler is receptive to user questions, answering them according to the context and knowledge of the AISH. It is also capable of interacting with the user whenever it senses that something has gone wrong, notifying next of kin and/or medical services, etc. The Virtual Butler is aware of the user location and moves to the computing device which is closest to the user, in order to be always present. Its avatar can also run in handheld devices keeping its main functionality in order to track user when s/he goes out. According to the evaluation carried out, the Virtual Butler is assessed as a very interesting and loved digital friend, filling the gap between the user and the smart home. The

  8. A mobile Virtual Butler to bridge the gap between users and ambient assisted living: a Smart Home case study.

    Science.gov (United States)

    Costa, Nuno; Domingues, Patricio; Fdez-Riverola, Florentino; Pereira, António

    2014-01-01

    Ambient Intelligence promises to transform current spaces into electronic environments that are responsive, assistive and sensitive to human presence. Those electronic environments will be fully populated with dozens, hundreds or even thousands of connected devices that share information and thus become intelligent. That massive wave of electronic devices will also invade everyday objects, turning them into smart entities, keeping their native features and characteristics while seamlessly promoting them to a new class of thinking and reasoning everyday objects. Although there are strong expectations that most of the users' needs can be fulfilled without their intervention, there are still situations where interaction is required. This paper presents work being done in the field of human-computer interaction, focusing on smart home environments, while being a part of a larger project called Aging Inside a Smart Home. This initiative arose as a way to deal with a large scourge of our country, where lots of elderly persons live alone in their homes, often with limited or no physical mobility. The project relies on the mobile agent computing paradigm in order to create a Virtual Butler that provides the interface between the elderly and the smart home infrastructure. The Virtual Butler is receptive to user questions, answering them according to the context and knowledge of the AISH. It is also capable of interacting with the user whenever it senses that something has gone wrong, notifying next of kin and/or medical services, etc. The Virtual Butler is aware of the user location and moves to the computing device which is closest to the user, in order to be always present. Its avatar can also run in handheld devices keeping its main functionality in order to track user when s/he goes out. According to the evaluation carried out, the Virtual Butler is assessed as a very interesting and loved digital friend, filling the gap between the user and the smart home. The

  9. A Mobile Virtual Butler to Bridge the Gap between Users and Ambient Assisted Living: A Smart Home Case Study

    Directory of Open Access Journals (Sweden)

    Nuno Costa

    2014-08-01

    Full Text Available Ambient Intelligence promises to transform current spaces into electronic environments that are responsive, assistive and sensitive to human presence. Those electronic environments will be fully populated with dozens, hundreds or even thousands of connected devices that share information and thus become intelligent. That massive wave of electronic devices will also invade everyday objects, turning them into smart entities, keeping their native features and characteristics while seamlessly promoting them to a new class of thinking and reasoning everyday objects. Although there are strong expectations that most of the users’ needs can be fulfilled without their intervention, there are still situations where interaction is required. This paper presents work being done in the field of human-computer interaction, focusing on smart home environments, while being a part of a larger project called Aging Inside a Smart Home. This initiative arose as a way to deal with a large scourge of our country, where lots of elderly persons live alone in their homes, often with limited or no physical mobility. The project relies on the mobile agent computing paradigm in order to create a Virtual Butler that provides the interface between the elderly and the smart home infrastructure. The Virtual Butler is receptive to user questions, answering them according to the context and knowledge of the AISH. It is also capable of interacting with the user whenever it senses that something has gone wrong, notifying next of kin and/or medical services, etc. The Virtual Butler is aware of the user location and moves to the computing device which is closest to the user, in order to be always present. Its avatar can also run in handheld devices keeping its main functionality in order to track user when s/he goes out. According to the evaluation carried out, the Virtual Butler is assessed as a very interesting and loved digital friend, filling the gap between the user and the

  10. Literary Relations: Anne Shirley and Her American Cousins.

    Science.gov (United States)

    Dawson, Janis

    2002-01-01

    Examines similarities between L.M. Montgomery's "Anne of Green Gables" and Kate Douglas Wiggin's "Rebecca of Sunnybrook Farm." Raises questions about the Canadianness of Montgomery's novel and considers the author's literary indebtedness to American authors and contemporary children's literature. Argues that as a literary work, "Anne of Green…

  11. Applications of artificial neural networks (ANNs) in food science.

    Science.gov (United States)

    Huang, Yiqun; Kangas, Lars J; Rasco, Barbara A

    2007-01-01

    Artificial neural networks (ANNs) have been applied in almost every aspect of food science over the past two decades, although most applications are in the development stage. ANNs are useful tools for food safety and quality analyses, which include modeling of microbial growth and from this predicting food safety, interpreting spectroscopic data, and predicting physical, chemical, functional and sensory properties of various food products during processing and distribution. ANNs hold a great deal of promise for modeling complex tasks in process control and simulation and in applications of machine perception including machine vision and electronic nose for food safety and quality control. This review discusses the basic theory of the ANN technology and its applications in food science, providing food scientists and the research community an overview of the current research and future trend of the applications of ANN technology in the field.

  12. GPS SATELLITE SIMULATOR SIGNAL ESTIMATION BASED ON ANN

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Multi-channel Global Positioning System (GPS) satellite signal simulator is used to provide realistic test signals for GPS receivers and navigation systems. In this paper, signals arriving the antenna of GPS receiver are analyzed from the viewpoint of simulator design. The estimation methods are focused of which several signal parameters are difficult to determine directly according to existing experiential models due to various error factors. Based on the theory of Artificial Neural Network (ANN), an approach is proposed to simulate signal propagation delay,carrier phase, power, and other parameters using ANN. The architecture of the hardware-in-the-loop test system is given. The ANN training and validation process is described. Experimental results demonstrate that the ANN designed can statistically simulate sample data in high fidelity.Therefore the computation of signal state based on this ANN can meet the design requirement,and can be directly applied to the development of multi-channel GPS satellite signal simulator.

  13. 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 ...

  14. Revisión de la categoría del cuerpo en la obra de Judidth Butler

    OpenAIRE

    Urdaneta García, Héctor

    2013-01-01

    Esta investigación reflexiona sobre la obra de la filósofa norteamericana Judith Butler, prestando mayor atención a las elaboraciones vinculadas con el cuerpo. Nuestro objetivo fundamental es revisar la categoría del cuerpo y sus relaciones con la performatividad y el lenguaje. Hemos de tener en cuenta la preocupación butleriana acerca del destino y la dignidad, de la fuerza de lucha y la resistencia al poder. “Su destino no es tener una vida para vivir, estar condenado a morir a...

  15. Anneli Barani väitekiri fraseologismide semantikast / 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)

  16. 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"

  17. 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

  18. Ehe seep Eesti moodi / Anneli Aasmäe

    Index Scriptorium Estoniae

    Aasmäe, Anneli, 1973-

    2008-01-01

    Produtsent Kristian Taska Kalev Spordis näidatav Venezuela seebiseriaali Eesti oludele mugandatud variant "Kalevi naised" : lavastaja Ingomar Vihman : osades Andrus Vaarik, Anne Reemann, Piret Kalda, Ken Saan jt.

  19. ESTIMATION OF SCOUR HOLE PROPERTIES AROUND VERTICAL PILE USING ANNs

    Institute of Scientific and Technical Information of China (English)

    A.KHOSRONEJAD; G. A. MONTAZER; M. GHODSIAN

    2003-01-01

    Correct estimation of the scour around vertical piles in the field exposed to oscillatory waves is very important for many offshore structures and coastal engineering projects. Conventional predictive formulas for the geometric properties of scour hole, however, are not able to provide sufficiently accurate results. Artificial Neural Networks (ANNs) are simplified mathematical representation of the human brain. Three-layer normal feed-forward ANN is a powerful tool for input-output mapping and has been widely used in civil engineering problems. In this article the ANNs approach is used to predict the geometric properties of the scour around vertical pile. Two different ANNs including multilayer perceptron (with four different learning rules) and radial basis functions neural networks are used for this purpose. The results show that a three-layer normal feed-forward multilayer perceptron with quick propagation (QP) learning rule can predict the scour hole properties successfully.

  20. One electron oxygen reduction in room temperature ionic liquids: A comparative study of Butler-Volmer and Symmetric Marcus-Hush theories using microdisc electrodes

    CERN Document Server

    Tanner, Eden E L; Barnes, Edward O; Compton, Richard G

    2015-01-01

    The voltammetry for the reduction of oxygen at a microdisc electrode is reported in two room temperature ionic liquids: 1-butyl-1-methylpyyrolidinium bis(trifluoromethylsulfonyl) imide ([Bmpyrr][NTf2]) and trihexyltetradecylphosphonium bis9trifluoromethylsulfonyl) imide ([P14,6,6,6][NTf2]) at 298 K. Simulated voltammograms using Butler-Volmer theory and Symmetric Marcus-Hush (SMH) theory were compared with experimental data. Butler-Volmer theory consistently provided experimental parameters with a higher level of certainty than SMH theory. A value of solvent reorganisation energy for oxygen reduction in ionic liquids was inferred for the first time as 0.4-0.5 eV, which is attributable to inner-sphere reorganisation with a negligible contribution from solvent reorganisation. The developed Butler-Volmer and Symmetric Marcus-Hush programs are also used to theoretically study the possibility of kinetically limited steady state currents, and to establish an approximate equivalence relationship between microdisc el...

  1. El ejercicio performativo de la ciudadanía a partir de la teoría de Judith Butler

    Directory of Open Access Journals (Sweden)

    Paula Bedin

    2015-07-01

    Full Text Available En el presente artículo se abordan los aportes de Judith Butler en torno al concepto de ciudadanía. Si bien Butler no ha desarrollado una teoría sistemática de la ciudadanía se sostiene que su concepción puede ser reconstruida a partir de su propuesta de ontología social y su interpretación de la contradicción performativa. Para probar esta afirmación, en primer lugar, se realiza dicha reconstrucción. En segundo lugar, se deriva de esta reconstrucción un modo original para pensar el ejercicio de la ciudadanía en los términos de la contradicción performativa. En tercer lugar, se evaluará la conveniencia de este punto de vista para comprender las demandas ciudadanas radicales en la actualidad. Como ejemplo se analizará la demanda de la legalización del aborto en Argentina. En la medida en que esta demanda incluye la realización de abortos medicamentosos, expresa el ejercicio de un derecho que las mujeres aún no poseen legalmente.

  2. 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

  3. Hierarchical approach to diagnosis of electronic circuits using ANNs

    Directory of Open Access Journals (Sweden)

    Andrejević-Stošović Miona

    2010-01-01

    Full Text Available In this paper, we apply artificial neural networks (ANNs to the diagnosis of a mixed-mode electronic circuit. In order to tackle the circuit complexity and to reduce the number of test points hierarchical approach to the diagnosis generation was implemented with two levels of decision: the system level and the circuit level. For every level, using the simulation-before-test (SBT approach, fault dictionary was created first, containing data relating the fault code and the circuit response for a given input signal. Also, hypercomputing was implemented, i.e. we used parallel simulation of large number of replicas of the original circuit with faults inserted to achieve fast creation of the fault dictionary. ANNs were used to model the fault dictionaries. At the topmost level, the fault dictionary was split into parts simplifying the implementation of the concept. During the learning phase, the ANNs were considered as an approximation algorithm to capture the mapping enclosed within the fault dictionary. Later on, in the diagnostic phase, the ANNs were used as an algorithm for searching the fault dictionary. A voting system was created at the topmost level in order to distinguish which ANN output is to be accepted as the final diagnostic statement. The approach was tested on an example of an analog-to-digital converter.

  4. "They Won't Let Us Play ... Unless You're Going out with One of Them": Girls, Boys and Butler's "Heterosexual Matrix" in the Primary Years

    Science.gov (United States)

    Renold, Emma

    2006-01-01

    Judith Butler's conceptualisation of how gender is routinely spoken through a hegemonic heterosexual matrix has been pivotal for many social scientists researching within and beyond educational settings for exposing the ways in which children's normative gender identities ("intelligible genders") are inextricably tied to dominant notions of…

  5. RGANN: An Efficient Algorithm to Extract Rules from ANNs

    CERN Document Server

    Kamruzzaman, S M

    2010-01-01

    This paper describes an efficient rule generation algorithm, called rule generation from artificial neural networks (RGANN) to generate symbolic rules from ANNs. Classification rules are sought in many areas from automatic knowledge acquisition to data mining and ANN rule extraction. This is because classification rules possess some attractive features. They are explicit, understandable and verifiable by domain experts, and can be modified, extended and passed on as modular knowledge. A standard three-layer feedforward ANN is the basis of the algorithm. A four-phase training algorithm is proposed for backpropagation learning. Comparing them to the symbolic rules generated by other methods supports explicitness of the generated rules. Generated rules are comparable with other methods in terms of number of rules, average number of conditions for a rule, and predictive accuracy. Extensive experimental studies on several benchmarks classification problems, including breast cancer, wine, season, golf-playing, and ...

  6. A New Nonlinear Compound Forecasting Method Based on ANN

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    In this paper the compound-forecasting method is discussed. The compound-forecasting method is one of the hotspots in the current predication. Firstly, the compound-forecasting method is introduced and various existing compound-forecasting methods arediscussed. Secondly, the Artificial Neural Network (ANN) is brought in compound-prediction research and a nonlinear compound-prediction model based on ANN is presented. Finally, inorder to avoid irregular weight, a new method is presented which uses principal component analyses to increase the availability of compound-forecasting information. Higherforecasting precision is achieved in practice.

  7. 朱迪斯·巴特勒:性别表演%Judith Butler: Theory of Performance

    Institute of Scientific and Technical Information of China (English)

    钟厚涛

    2006-01-01

    文章回顾传统的体制对于女性的压抑,并以之为背景,从巴特勒对于女性本质主义的质疑、对异性恋和同性恋的两分结构的挑战、性别表演理论的建构以及其对于德里达解构思想的挪用等诸多方面对朱迪斯·巴特勒(Judith Butler)所提出的核心命题--性别表演理论加以探讨.

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

    Index Scriptorium Estoniae

    Randla, Anneli

    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

  9. Prediction aluminum corrosion inhibitor efficiency using artificial neural network (ANN)

    Science.gov (United States)

    Ebrahimi, Sh; Kalhor, E. G.; Nabavi, S. R.; Alamiparvin, L.; Pogaku, R.

    2016-06-01

    In this study, activity of some Schiff bases as aluminum corrosion inhibitor was investigated using artificial neural network (ANN). Hence, corrosion inhibition efficiency of Schiff bases (in any type) were gathered from different references. Then these molecules were drawn and optimized in Hyperchem software. Molecular descriptors generating and descriptors selection were fulfilled by Dragon software and principal component analysis (PCA) method, respectively. These structural descriptors along with environmental descriptors (ambient temperature, time of exposure, pH and the concentration of inhibitor) were used as input variables. Furthermore, aluminum corrosion inhibition efficiency was used as output variable. Experimental data were split into three sets: training set (for model building) and test set (for model validation) and simulation (for general model). Modeling was performed by Multiple linear regression (MLR) methods and artificial neural network (ANN). The results obtained in linear models showed poor correlation between experimental and theoretical data. However nonlinear model presented satisfactory results. Higher correlation coefficient of ANN (R > 0.9) revealed that ANN can be successfully applied for prediction of aluminum corrosion inhibitor efficiency of Schiff bases in different environmental conditions.

  10. 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 «&...

  11. 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

  12. Toimus Endel Annuse bibliograafiapäev / Anne Valmas

    Index Scriptorium Estoniae

    Valmas, Anne, 1941-

    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. 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

  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. 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

  16. 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

  17. Comparison of Conventional and ANN Models for River Flow Forecasting

    Science.gov (United States)

    Jain, A.; Ganti, R.

    2011-12-01

    Hydrological models are useful in many water resources applications such as flood control, irrigation and drainage, hydro power generation, water supply, erosion and sediment control, etc. Estimates of runoff are needed in many water resources planning, design development, operation and maintenance activities. River flow is generally estimated using time series or rainfall-runoff models. Recently, soft artificial intelligence tools such as Artificial Neural Networks (ANNs) have become popular for research purposes but have not been extensively adopted in operational hydrological forecasts. There is a strong need to develop ANN models based on real catchment data and compare them with the conventional models. In this paper, a comparative study has been carried out for river flow forecasting using the conventional and ANN models. Among the conventional models, multiple linear, and non linear regression, and time series models of auto regressive (AR) type have been developed. Feed forward neural network model structure trained using the back propagation algorithm, a gradient search method, was adopted. The daily river flow data derived from Godavari Basin @ Polavaram, Andhra Pradesh, India have been employed to develop all the models included here. Two inputs, flows at two past time steps, (Q(t-1) and Q(t-2)) were selected using partial auto correlation analysis for forecasting flow at time t, Q(t). A wide range of error statistics have been used to evaluate the performance of all the models developed in this study. It has been found that the regression and AR models performed comparably, and the ANN model performed the best amongst all the models investigated in this study. It is concluded that ANN model should be adopted in real catchments for hydrological modeling and forecasting.

  18. Comparison of Responses to Mn Deficiency Between the UK Wheat Genotypes Maris Butler, Paragon and the Australian Wheat Genotype C8MM

    Institute of Scientific and Technical Information of China (English)

    Wen-Zhi Jiang

    2008-01-01

    Wheat grown in Mn-deficient soil has been widely observed to produce much reduced yields. Breeding for Mn-efficient wheat genotypes adapted to Mn-deficient soils would represent a long-term solution for wheat agronomy, To characterize the physiological basis of Mn efficiency in wheat genotypes would facilitate the breeding programs for producing Mn-efficient wheat. Using a solution culture and a soil culture system in the present study, a Mn-efficient UK wheat genotype Maris Butler and a Mn-inefficient UK wheat genotype Paragon have been compared with a Mn-efficient Australian wheat genotype C8MM in the responses to Mn deficiency In order to characterize the Mn efficiency in these wheat genotypes.Results showed that in solution culture, Marls Butler grown under Mn deficiency had 77% relative dry matter yield of control plants that were grown under Mn sufficiency, whereas C8MM and Paragon had 60% and 58% relative dry matter yield of their respective controls. Results from the soil culture demonstrated that relative dry matter yield remained high for Marie Butler and C8MM (53% and 56%, respectively), whereas the value for Paragon dropped to 33%. In terms of dry matter yield and photosynthetic efficiency, Mads Butler demonstrated Mn efficiency in both solution culture and soil culture, whereas C8MM showed Mn efficiency only In soil culture. Results also demonstrated that under Mn-depleted supply in soil, plants of C8MM had a significantly higher ability in Mn uptake, whereas plants of Marls Butler showed a higher internal Mn usa efficiency in comparison with plants of Paragon. Results from the present study indicate that the ability of C8MM to accumulate higher amounts of Mn is the basis of the improved Mn efficiency of this genotype in comparison with Paragon, and in Marls Butler there is a higher internal use of Mn expressed as an improved photosynthetic efficiency in conferring its Mn efficiency. It is suggested that more than one mechanism has arisen in wheat to

  19. 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. PMID:21243727

  20. Butler, Judith. Violencia de Estado, guerra, resistencia. Por una nueva política de la izquierda. Madrid: Katz Editores, 2011

    Directory of Open Access Journals (Sweden)

    Juan Antonio Fernández Manzano

    2015-07-01

    Full Text Available This book is the transcript of a conference that Judith Butler (Ohio, 1956 gave in Barcelona in April 2010 together with an in-depth interview. Both texts, addressed to an educated reader, not necessarily specialized in political philosophy revolve around the role the left can play in the defense of the most vulnerable in view of the present forms of oppression, exclusion and violence.

  1. Access to enhanced differences in Marcus-Hush and Butler-Volmer electron transfer theories by systematic analysis of higher order AC harmonics.

    Science.gov (United States)

    Stevenson, Gareth P; Baker, Ruth E; Kennedy, Gareth F; Bond, Alan M; Gavaghan, David J; Gillow, Kathryn

    2013-02-14

    The potential-dependences of the rate constants associated with heterogeneous electron transfer predicted by the empirically based Butler-Volmer and fundamentally based Marcus-Hush formalisms are well documented for dc cyclic voltammetry. However, differences are often subtle, so, presumably on the basis of simplicity, the Butler-Volmer method is generally employed in theoretical-experimental comparisons. In this study, the ability of Large Amplitude Fourier Transform AC Cyclic Voltammetry to distinguish the difference in behaviour predicted by the two formalisms has been investigated. The focus of this investigation is on the difference in the profiles of the first to sixth harmonics, which are readily accessible when a large amplitude of the applied ac potential is employed. In particular, it is demonstrated that systematic analysis of the higher order harmonic responses in suitable kinetic regimes provides predicted deviations of Marcus-Hush from Butler-Volmer behaviour to be established from a single experiment under conditions where the background charging current is minimal.

  2. 2014, l’année brésilienne

    OpenAIRE

    Dabène,Olivier

    2014-01-01

    Dilma Rousseff pourrait être élue personnalité de l’année 2014 en Amérique latine. La présidente du Brésil a réussi à organiser une Coupe du monde de football exemplaire, apportant un démenti cinglant aux oiseaux de mauvais augure qui ont accaparé les médias pendant des mois. Très impopulaire en début d’année, empêtrée dans un scandale de corruption et handicapée par une récession économique, elle est ensuite parvenue à offrir au Parti des travailleurs (PT) une quatrième victoire ...

  3. Exploring Sound Signature for Vehicle Detection and Classification Using ANN

    Directory of Open Access Journals (Sweden)

    Jobin George

    2013-06-01

    Full Text Available This paper attempts to explore the possibility of using sound signatures for vehicle detection andclassification purposes. Sound emitted by vehicles are captured for a two lane undivided road carryingmoderate traffic. Simultaneous arrival of different types vehicles, overtaking at the study location, sound ofhorns, random but identifiable back ground noises, continuous high energy noises on the back ground arethe different challenges encountered in the data collection. Different features were explored out of whichsmoothed log energy was found to be useful for automatic vehicle detection by locating peaks. Mel-frequency ceptral coefficients extracted from fixed regions around the detected peaks along with themanual vehicle labels are utilised to train an Artificial Neural Network (ANN. The classifier for fourbroad classes heavy, medium, light and horns was trained. The ANN classifier developed was able topredict categories well.

  4. Jo Ann Rinaudo, PhD | Division of Cancer Prevention

    Science.gov (United States)

    Dr. Jo Ann Rinaudo is a Program Director in the Cancer Biomarkers Research Group in the Division of Cancer Prevention at the National Cancer Institute. She received a doctoral degree from the University of Toronto, where she studied chemical carcinogenesis in the liver. She was in the pathology department and has a broad background in human disease. Post-graduate training included further studies on the cell cycle during liver regeneration and cancer. |

  5. Performance Prediction of Solar Adsorption Refrigeration System by Ann

    OpenAIRE

    Baiju, V.; C. Muraleedharan

    2012-01-01

    This paper proposes a new approach for the performance analysis of a single-stage solar adsorption refrigeration system with activated carbon-R134a as working pair. Use of artificial neural network has been proposed to determine the performance parameters of the system, namely, coefficient of performance, specific cooling power, adsorbent bed (thermal compressor) discharge temperature, and solar cooling coefficient of performance. The ANN used in the performance prediction was made in MATLAB ...

  6. ANN BASED ONLINE ESTIMATION OF VOLTAGE COLLAPSE PROXIMITY INDICATOR

    OpenAIRE

    Balamurugan, G.; P. ARAVINDHABABU

    2010-01-01

    Voltage stability has recently become a challenging issue in many power systems. There are different methods used to study the voltage collapse phenomenon but most of them take significant computation time and are not suitable for on-line applications. Fast voltage stability assessment tools are required in order to ensure the secureoperation of the present day power systems, as voltage collapse can occur quite abruptly in systems. Therefore a new ANN based on-line approach that requires mini...

  7. A Hybrid FEM-ANN Approach for Slope Instability Prediction

    Science.gov (United States)

    Verma, A. K.; Singh, T. N.; Chauhan, Nikhil Kumar; Sarkar, K.

    2016-08-01

    Assessment of slope stability is one of the most critical aspects for the life of a slope. In any slope vulnerability appraisal, Factor Of Safety (FOS) is the widely accepted index to understand, how close or far a slope from the failure. In this work, an attempt has been made to simulate a road cut slope in a landslide prone area in Rudrapryag, Uttarakhand, India which lies near Himalayan geodynamic mountain belt. A combination of Finite Element Method (FEM) and Artificial Neural Network (ANN) has been adopted to predict FOS of the slope. In ANN, a three layer, feed- forward back-propagation neural network with one input layer and one hidden layer with three neurons and one output layer has been considered and trained using datasets generated from numerical analysis of the slope and validated with new set of field slope data. Mean absolute percentage error estimated as 1.04 with coefficient of correlation between the FOS of FEM and ANN as 0.973, which indicates that the system is very vigorous and fast to predict FOS for any slope.

  8. Travestismos comparados. Una aplicación etnográfica de la perspectiva de Judith Butler

    Directory of Open Access Journals (Sweden)

    M. Cabrapán Duarte

    2014-12-01

    Full Text Available Las autoras de este artículo integramos un proyecto de investigación cuyo objetivo es analizar las articulaciones de subjetividad y agencia que se producen a partir del entramado de los clivajes étnico, de clase, de género y de edad. Partimos de entender que ninguno de estos clivajes opera separado de los demás sino que las subjetividades y las agencias emergen de una trama en la que los posicionamientos que visibilizan alguno de los clivajes implican otros que operan sin ser visibles. Tomamos como instrumentos conceptuales dos propuestas teóricas de Judith Butler. La primera de ellas tiene que ver con el debate en el campo de la teoría feminista por los supuestos etnocéntricos que subyacen al postulado de que la diferencia de género es anterior a otras diferencias y constituye una esfera autónoma de relaciones. La segunda es el uso de la metáfora del travestismo para analizar casos en los que la rearticulación de subjetividad falla en la materialización de la norma que es necesaria para completar la identificación. Con estos instrumentos teóricos analizaremos travestismos de género, clase, edad y etnicidad en Río Negro y Chubut.

  9. O MISSIONÁRIO E O CORONEL: UMA ICONOGRAFIA DO MÉDICO-MISSIONÁRIO GEORGE BUTLER

    Directory of Open Access Journals (Sweden)

    Rogério de Carvalho Veras

    2016-02-01

    Full Text Available We undertake a study about the beginning of Protestantism in the Northeast of Brazil through the biography of George William Butler, doctor and protestant missionary. From the point of view of a micro-analytical narrative, we aim to understand how he gives meaning to his social relations and to world around him - the Northeast at the dawn of the twentieth century - as well as the society welcomed an individual with a new religiosity. Realizing the limitations of written sources (mission reports for such research purposes, we seek an iconographic analysis of the photos published by the missionary, and his wife, through their institution Presbyterian Church in the United States (PCUS. We think these images as a means of access to social representations concerning the relationship between a Protestant, who comes from southern United States, with the local culture, through the investigation of the production, circulation and reception of these images. The photographs, collated with other written sources, enabled us to rebuild the ideological dimension of images and the effort to maintain powers, amid the ebb and flow of secularizing transition and anglo-saxon capitalism, uniting both Protestant and landowners of Pernambuco's territory.

  10. 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

  11. The Vampires of Anne Rice. From Byron to Lestat

    OpenAIRE

    Ingunn Anna Ragnarsdóttir 1982

    2011-01-01

    The myth of the vampire can be found throughout history. When the literary vampire came forth its popularity kept growing steadily. This essay will be discussing the author Anne Rice and her Vampire Chronicles and how her writing helped change and forge a new tradition in vampire fiction. The specifics of Rice’s vampires characters will be discussed, the changes she produced, and the explicit traits of the vampires in Rice’s fiction such as their connection to the Byronic hero and to the s...

  12. State Prediction of Chaotic System Based on ANN Model

    Institute of Scientific and Technical Information of China (English)

    YUE Yi-hong; HAN Wen-xiu

    2002-01-01

    The choice of time delay and embedding dimension is very important to the phase space reconstruction of any chaotic time series. In this paper, we determine optimal time delay by computing autocorrelation function of time series. Optimal embedding dimension is given by means of the relation between embedding dimension and correlation dimension of chaotic time series. Based on the methods above,we choose ANN model to appoximate the given true system. At the same time, a new algorithm is applied to determine the network weights. At the end of this paper, the theory above is demonstrated through the research of time series generated by Logistic map.

  13. 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"

  14. Extent of Variation of the Bacillus thuringiensis Toxin Reservoir: the Case of the Geranium Bronze, Cacyreus marshalli Butler (Lepidoptera: Lycaenidae)

    Science.gov (United States)

    Herrero, Salvador; Borja, Marisé; Ferré, Juan

    2002-01-01

    Despite the fact that around 200 cry genes from Bacillus thuringiensis have already been cloned, only a few Cry proteins are toxic towards a given pest. A crucial step in the mode of action of Cry proteins is binding to specific sites in the midgut of susceptible insects. Binding studies in insects that have developed cross-resistance discourage the combined use of Cry proteins sharing the same binding site. If resistance management strategies are to be implemented, the arsenal of Cry proteins suitable to control a given pest may be not so vast as it might seem at first. The present study evaluates the potential of B. thuringiensis for the control of a new pest, the geranium bronze (Cacyreus marshalli Butler), a butterfly that is threatening the popularity of geraniums in Spain. Eleven of the most common Cry proteins from the three lepidopteran-active Cry families (Cry1, Cry2, and Cry9) were tested against the geranium bronze for their toxicity and binding site relationships. Using 125I-labeled Cry1A proteins we found that, of the seven most active Cry proteins, six competed for binding to the same site. For the long-term control of the geranium bronze with B. thuringiensis-based insecticides it would be advisable to combine any of the Cry proteins sharing the binding site (preferably Cry1Ab, since it is the most toxic) with those not competing for the same site. Cry1Ba would be the best choice of these proteins, since it is significantly more toxic than the others not binding to the common site. PMID:12147511

  15. PREDICTION OF SOLAR ADSORPTION REFRIGERATION SYSTEM PERFORMANCE USING ANN BASED ON GENETIC LEARNING

    Directory of Open Access Journals (Sweden)

    Salah. Hanini

    2012-08-01

    Full Text Available An adsorptive solar refrigerator performance was modelled using artificial neural networks (ANNs. This model takes into account the adsorbent bed, condenser and the evaporator characteristics as well as the working pair (Activated carbon /methanol properties and the climate conditions. The supervised learning of the ANN is based on a genetic algorithm (GA supported by an elitist strategy. Input, hidden and output layers model the topology of the ANN. The weights of the synapses and the biases for hidden and output nodes are used as design variables in the ANN learning process. The mean relative error between experimental (extracted from literature and simulated results are used to monitor the learning process. The optimal ANN obtained after learning is tested. This approach of ANN learning based on GA presents low mean relative errors in learning and testingphases.

  16. Wavelet and ANN Based Relaying for Power Transformer Protection

    Directory of Open Access Journals (Sweden)

    S. Sudha

    2007-01-01

    Full Text Available This paper presents an efficient wavelet and neural network (WNN based algorithm for distinguishing magnetizing inrush currents from internal fault currents in three phase power transformers. The wavelet transform is applied first to decompose the current signals of the power transformer into a series of detailed wavelet components. The values of the detailed coefficients obtained can accurately discriminate between an internal fault and magnetizing inrush currents in power transformers. The detailed coefficients are further used to train an Artificial Neural Network (ANN. The trained ANN clearly distinguishes an internal fault current from magnetizing inrush current. A typical 750 MVA, 27/420KV, ∆/Y power transformer connected between a 27KV source at the sending end and a 420KV transmission line connected to an infinite bus power system at the receiving end were simulated using PSCAD/EMTDC software. The generated data were used by the MATLAB software to test the performance of the proposed technique. The simulation results obtained show that the new algorithm is more reliable and accurate. It provides a high operating sensitivity for internal faults and remains stable for inrush currents of the power transformers.

  17. A neutron spectrometry and dosimetry computer tool based on ANN

    International Nuclear Information System (INIS)

    In the neutron spectrometry and dosimetry research areas by means of the Bonner spheres spectrometric system utilizing classical approaches, such as Monte Carlo, parametrization and iterative procedures, the weight, time consuming procedure, the need to use an unfolding procedure, the low resolution spectrum, and the need to use the neutron fluence-to-dose conversion coefficients for calculating the equivalent doses are some drawbacks which these approaches offer. Each of the mentioned difficulties has motivated the development of complementary procedures such as maximum entropy, genetic algorithms and artificial neural networks. The use of neural networks to unfold neutron spectra and to calculate equivalent doses from the count rates measured with BSS system has become in an alternative procedure, which has been applied with success, however, it is observed that doesn't exist computer tools based on ANN technology to unfold neutron spectra and to calculate equivalent doses. In this work a customized front end user interface software application, called Neutron Spectrometry and Dosimetry by means of Artificial Neural Networks (NSDANN) based on ANN technology, is presented, which is capable to unfold neutron spectra and to simultaneously calculate 13 equivalent doses, by using only the count rates of a BBS system as input, in just a few seconds. (author)

  18. ANN expert system screening for illicit amphetamines using molecular descriptors

    Science.gov (United States)

    Gosav, S.; Praisler, M.; Dorohoi, D. O.

    2007-05-01

    The goal of this study was to develop and an artificial neural network (ANN) based on computed descriptors, which would be able to classify the molecular structures of potential illicit amphetamines and to derive their biological activity according to the similarity of their molecular structure with amphetamines of known toxicity. The system is necessary for testing new molecular structures for epidemiological, clinical, and forensic purposes. It was built using a database formed by 146 compounds representing drugs of abuse (mainly central stimulants, hallucinogens, sympathomimetic amines, narcotics and other potent analgesics), precursors, or derivatized counterparts. Their molecular structures were characterized by computing three types of descriptors: 38 constitutional descriptors (CDs), 69 topological descriptors (TDs) and 160 3D-MoRSE descriptors (3DDs). An ANN system was built for each category of variables. All three networks (CD-NN, TD-NN and 3DD-NN) were trained to distinguish between stimulant amphetamines, hallucinogenic amphetamines, and nonamphetamines. A selection of variables was performed when necessary. The efficiency with which each network identifies the class identity of an unknown sample was evaluated by calculating several figures of merit. The results of the comparative analysis are presented.

  19. New species of high elevation cloud forest butterflies of the genus Pedaliodes Butler from the northern Colombian Andes (Lepidoptera, Nymphalidae, Satyrinae).

    Science.gov (United States)

    Pyrcz, Tomasz W; Prieto, Carlos; Viloria, Angel L; Andrade, Gonzalo

    2013-01-01

    Four new species of Pedaliodes Butler (i.e., P. adrianae, n. sp., P. haydoni, n. sp., P. philinae, n. sp. and P. rodriguezi, n. sp.) are described from the high elevation cloud forests in the Frontino massif in the Colombian Western Cordillera and the northern part of the Central and Eastern Cordilleras. The affinities of these new species with other congeners are discussed. The total number of described species of Colombian Pronophilina is increased to 208, with a particularly high total number of species (88) and proportion of endemic species (26%) in the Western Cordillera.

  20. Ilves näitas Iirile Eestit kui luulelembest mõttekaaslast / Anneli Ammas

    Index Scriptorium Estoniae

    Ammas, Anneli, 1962-

    2008-01-01

    Vabariigi President riigivisiidil Iirimaal 13.-16.04.2008. Ametlike kohtumiste kõrval viidi Eesti riigipea iiri luuletaja William Butler Yeats'i näitusele ning James Joyce'i keskusse, proua Evelin Ilves külastas Iiri rahvuslikku muuseumi. President T. H. Ilves nimetas Iirimaad Euroopa Liidu kontekstis Eestile isegi lähedasemaks naabriks kui Soomet. Juuresoleval fotol Eesti presidendipaar koos Iirimaa presidendi Mary McAleese'iga

  1. Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy

    Directory of Open Access Journals (Sweden)

    Maytham S. Ahmed

    2016-09-01

    Full Text Available Demand response (DR program can shift peak time load to off-peak time, thereby reducing greenhouse gas emissions and allowing energy conservation. In this study, the home energy management scheduling controller of the residential DR strategy is proposed using the hybrid lightning search algorithm (LSA-based artificial neural network (ANN to predict the optimal ON/OFF status for home appliances. Consequently, the scheduled operation of several appliances is improved in terms of cost savings. In the proposed approach, a set of the most common residential appliances are modeled, and their activation is controlled by the hybrid LSA-ANN based home energy management scheduling controller. Four appliances, namely, air conditioner, water heater, refrigerator, and washing machine (WM, are developed by Matlab/Simulink according to customer preferences and priority of appliances. The ANN controller has to be tuned properly using suitable learning rate value and number of nodes in the hidden layers to schedule the appliances optimally. Given that finding proper ANN tuning parameters is difficult, the LSA optimization is hybridized with ANN to improve the ANN performances by selecting the optimum values of neurons in each hidden layer and learning rate. Therefore, the ON/OFF estimation accuracy by ANN can be improved. Results of the hybrid LSA-ANN are compared with those of hybrid particle swarm optimization (PSO based ANN to validate the developed algorithm. Results show that the hybrid LSA-ANN outperforms the hybrid PSO based ANN. The proposed scheduling algorithm can significantly reduce the peak-hour energy consumption during the DR event by up to 9.7138% considering four appliances per 7-h period.

  2. An experimental comparison of the Marcus-Hush and Butler-Volmer descriptions of electrode kinetics applied to cyclic voltammetry. The one electron reductions of europium (III) and 2-methyl-2-nitropropane studied at a mercury microhemisphere electrode

    Science.gov (United States)

    Henstridge, Martin C.; Wang, Yijun; Limon-Petersen, Juan G.; Laborda, Eduardo; Compton, Richard G.

    2011-11-01

    We present a comparative experimental evaluation of the Butler-Volmer and Marcus-Hush models using cyclic voltammetry at a microelectrode. Numerical simulations are used to fit experimental voltammetry of the one electron reductions of europium (III) and 2-methyl-2-nitropropane, in water and acetonitrile, respectively, at a mercury microhemisphere electrode. For Eu (III) very accurate fits to experiment were obtained over a wide range of scan rates using Butler-Volmer kinetics, whereas the Marcus-Hush model was less accurate. The reduction of 2-methyl-2-nitropropane was well simulated by both models, however Marcus-Hush required a reorganisation energy lower than expected.

  3. 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.

  4. La CGT dans les années 1950

    OpenAIRE

    Andolfatto, Dominique; Barberis, Raymond; Besse, Jean-Pierre; Bickard, Robert; Bidouze, Réné; Blondeau, Achille; Bouche, Bernard; Bressol, Élyane; Brun, Jean; Calvetti, Oswald; Crom, Jean-Pierre Le; Dereymez, Jean-William; Desseigne, Maurice; Dreyfus, Michel; Frajerman, Laurent

    2015-01-01

    Propices aux polémiques et à la caricature, les années 1950 sont au nombre des périodes encore mal connues de l’histoire de la CGT. Le Centre d’histoire sociale du XXe siècle et l’Institut CGT d’histoire sociale ont uni leurs compétences afin de mieux comprendre ce que fut la Confédération en ces temps difficiles. Tel était l’objet du colloque tenu en novembre 2003 dont rend compte le présent ouvrage. Durant la guerre froide, le poids du parti communiste a très fortement pesé sur la vie de la...

  5. Evaluation of AnnAGNPS in cold and temperate regions.

    Science.gov (United States)

    Das, S; Rudra, R P; Goel, P K; Gharabaghi, B; Gupta, N

    2006-01-01

    Identification of the pollution sources and understanding the processes related to runoff generation and pollution transportation is effective for the water quality management and selection of the Best Management Practices. The ANNualized AGricultural Non-Point Source (AnnAGNPS) model was applied to a watershed in Southern Ontario to evaluate the hydrology and sediment component from the non-point sources. The model was run for two years (1998 to 1999); one year's data was used to calibrate and the second year's data was used for validation purposes. The model has under predicted runoff amount and over predicted the sediment yield. However, the simulated runoff and sediment yield compared fairly well with the observed data indicating that the model had an acceptable performance in simulation of runoff and sediment. The study is still in progress to assess its performance for estimation of TMDL and improvements needed for the model to use under Ontario conditions. PMID:16594345

  6. Predicting Dynamic Behavior of a Biological System Using ANNs

    Science.gov (United States)

    Osman, Mohd Haniff; Ibrahim, Ratnawati; Hashim, Ishak; Yeun, Liong Choong; Bakar, Azuraliza Abu; Hussein, Zeti Azura Mohamed

    2008-01-01

    In this paper, artificial neural networks (ANNs) are applied to predict protein concentrations of a biological system. The input data are generated from a nonlinear mathematical model of the protein concentration. The protein concentrations from CDC6 data with actual kinetic parameter are taken as the target output. The data are then trained using multilayer perceptron (MLP) neural network with a 6-6-6 configuration. The allocation of the data will be distributed into 3 categories that are 80% as training data, 10% as validation data, and 10% as test data. The learning rules used in this work to determine the best model are gradient descent, conjugate gradient, scaled conjugate gradient. It is found that the MLP with scaled conjugate gradient learning rule gives the best prediction rate.

  7. ANN BASED ONLINE ESTIMATION OF VOLTAGE COLLAPSE PROXIMITY INDICATOR

    Directory of Open Access Journals (Sweden)

    G. Balamurugan

    2010-07-01

    Full Text Available Voltage stability has recently become a challenging issue in many power systems. There are different methods used to study the voltage collapse phenomenon but most of them take significant computation time and are not suitable for on-line applications. Fast voltage stability assessment tools are required in order to ensure the secureoperation of the present day power systems, as voltage collapse can occur quite abruptly in systems. Therefore a new ANN based on-line approach that requires minimum input for estimation of voltage collapse proximity indicator for each critical bus under normal and contingent conditions is developed in this paper. Test results onIEEE-14 bus system are presented to show its computational accuracy.

  8. 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.

  9. Butler-Sugimoto monomolecular bilayer interface model: the effect of oxygen on the surface tension of a liquid metal and its wetting of a ceramic.

    Science.gov (United States)

    Yen, Pei-Shan; Datta, Ravindra

    2014-07-15

    The influence of oxygen on liquid-gas surface tension of molten metals has been well-investigated experimentally and modeled theoretically via the Szyszkowski equation, derivable from the Butler molecular monolayer interface model. However, there is no corresponding model describing the experimentally observed profound effect of oxygen partial pressure on solid-liquid surface tension as well as on contact angle of molten metals on ceramic substrates. Here, we utilize the Butler-Sugimoto thermodynamic approach based on a monomolecular bilayer interface model to investigate the effect of oxygen partial pressure on liquid-gas as well as solid-liquid surface tension of molten Cu/Al2O3 and molten Ag/Al2O3 systems. It is shown that both liquid-gas and solid-liquid surface tension are a strong function of oxygen activity in the melt, which, in turn, depends on gas-phase oxygen partial pressure, in conformity with experiments. The change in solid-liquid surface tension and wetting is also greatly affected by the change in liquid-gas surface tension. This improved understanding is of practical significance in many applications. PMID:24863799

  10. 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

  11. 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

  12. 33 CFR 80.120 - Cape Ann, MA to Marblehead Neck, MA.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Cape Ann, MA to Marblehead Neck, MA. 80.120 Section 80.120 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Atlantic Coast § 80.120 Cape Ann, MA...

  13. 46 CFR 7.10 - Eastport, ME to Cape Ann, MA.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 1 2010-10-01 2010-10-01 false Eastport, ME to Cape Ann, MA. 7.10 Section 7.10 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY PROCEDURES APPLICABLE TO THE PUBLIC BOUNDARY LINES Atlantic Coast § 7.10 Eastport, ME to Cape Ann, MA. (a) A line drawn from the easternmost extremity of...

  14. 78 FR 41993 - Ann Arbor Railroad, Inc.-Lease Exemption-Norfolk Southern Railway Company

    Science.gov (United States)

    2013-07-12

    ... Surface Transportation Board Ann Arbor Railroad, Inc.--Lease Exemption--Norfolk Southern Railway Company... of exemption should be issued, and does so here. Notice Ann Arbor Railroad, Inc. (AARR), a Class III... Southern Railway Company (NSR) two rail lines totaling 3.69 miles: (1) A line of railroad between...

  15. 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…

  16. iAnn: an event sharing platform for the life sciences

    NARCIS (Netherlands)

    Jimenez, R.C.; Albar, J.P.; Bhak, J.; Blatter, M.C.; Blicher, T.; Brazas, M.D.; Brooksbank, C.; Budd, A.; Rivas, J. De Las; Dreyer, J.; Driel, M.A. van; Dunn, M.J.; Fernandes, P.L.; Gelder, C.W.G. van; Hermjakob, H.; Ioannidis, V.; Judge, D.P.; Kahlem, P.; Korpelainen, E.; Kraus, H.J.; Loveland, J.; Mayer, C.; McDowall, J.; Moran, F.; Mulder, N.; Nyronen, T.; Rother, K.; Salazar, G.A.; Schneider, R.; Via, A.; Villaveces, J.M.; Yu, P.; Schneider, M.V.; Attwood, T.K.; Corpas, M.

    2013-01-01

    SUMMARY: 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 ad

  17. HYDRAULICS, Butler County, Iowa

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and...

  18. FLOODPLAIN, BUTLER COUNTY, ALABAMA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the...

  19. FLOODPLAIN, BUTLER COUNTY, MO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the...

  20. Chapitre 10. Domination et dissolution, des années 1860 aux années 1880

    OpenAIRE

    OUALDI, M’hamed

    2015-01-01

    Au lendemani de la « révolte » de 1864 jusqu’au début des années 1880, le corps des mamelouks s’épuise et se dissout. Il fait dès lors l’objet de multiples rejets. De toutes parts, nous le verrons dans ce dernier chapitre, au cœur du sérail, dans l’administration beylicale et dans l’aire d’influence ottomane, les facteurs d’affaiblissement se conjuguent et se renforcent. Au Bardo, les concurrences s’exacerbent entre puissants serviteurs et princes désargentés. En 1867, la rébellion du prince ...

  1. A Sensitive ANN Based Differential Relay for Transformer Protection with Security against CT Saturation and Tap Changer Operation

    OpenAIRE

    KHORASHADI-ZADEH, Hassan; Li, Zuyi

    2007-01-01

    This paper presents an artificial neural network (ANN) based scheme for fault identification in power transformer protection. The proposed scheme is featured by the application of ANN to identifying system patterns, the unique choice of harmonics of positive sequence differential currents as ANN inputs, the effective handling of current transformer (CT) saturation with an ANN based approach, and the consideration of tap changer position for correcting secondary CT current. Performanc...

  2. Real Time Host Assessment using ANN for Grid Network

    Directory of Open Access Journals (Sweden)

    T.R.Srinivasan

    2010-10-01

    Full Text Available In this work, we study the efficacy of assessing registered hosts for job allocation using Artificial neural network to classify registered hosts during job scheduling. Grid is evolving as the computing structure of the future. The success in commercial grid computing is the ability to negotiate resource sharing arrangements with a set of registered participating parties. Grid computing is capable of integrating services across distributed heterogeneous disparate resources with a centralized control to provide quality of service.Host assessment plays a crucial role to assign a specific job in thegrid. Host selection among the registered pool of hosts can drastically improve the quality of service. Resource discoveryalgorithms are available but identifying ideal resource to reducequeue time and response time is the most essential task in a commercial grid environment. Resource mining is the process of running data through sophisticated algorithms to uncover meaningful patterns and co relations that may otherwise be hidden. We explore theapplication of these techniques to assess host by training thesystem with known data. Experimental results show an improvement of 25.49 percent in data classification using ANN over normal methods.

  3. 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...

  4. 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.

  5. Daily reservoir inflow forecasting combining QPF into ANNs model

    Directory of Open Access Journals (Sweden)

    Jun Zhang

    2009-01-01

    Full Text Available Daily reservoir inflow predictions with lead-times of several days are essential to the operational planning and scheduling of hydroelectric power system. The demand for quantitative precipitation forecasting (QPF is increasing in hydropower operation with the dramatic advances in the numerical weather prediction (NWP models. This paper presents a simple and an effective algorithm for daily reservoir inflow predictions which solicits the observed precipitation, forecasted precipitation from QPF as predictors and discharges in following 1 to 6 days as predicted targets for multilayer perceptron artificial neural networks (MLP-ANNs modeling. An improved error back-propagation algorithm with self-adaptive learning rate and self-adaptive momentum coefficient is used to make the supervised training procedure more efficient in both time saving and search optimization. Several commonly used error measures are employed to evaluate the performance of the proposed model and the results, compared with that of ARIMA model, show that the proposed model is capable of obtaining satisfactory forecasting not only in goodness of fit but also in generalization. Furthermore, the presented algorithm is integrated into a practical software system which has been severed for daily inflow predictions with lead-times varying from 1 to 6 days of more than twenty reservoirs operated by the Fujian Province Grid Company, China.

  6. 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.

  7. Implications for Metallographic Cooling Rates, Derived from Fine-Scale Analytical Traverses Across Kamacite, Taenite, and Tetrataenite in the Butler Iron Meteorite

    Science.gov (United States)

    Jones, J. H.; Ross, D. K.; Chabot, N. L.; Keller, L. P.

    2016-01-01

    The "M-shaped" Ni concentrations across Widmanstatten patterns in iron meteorites, mesosiderites, and ordinary chondrites are commonly used to calculate cooling rates. As Ni-poor kamacite exolves from Ni-rich taenite, Ni concentrations build up at the kamacite-taenite interface because of the sluggish diffusivity of Ni. Quantitative knowledge of experimentally-determined Ni diffusivities, coupled with the shape of the M-profile, have been used to allow calculation of cooling rates that pertained at low temperatures, less than or equal to 500 C. However, determining Ni metallographic cooling rates are challenging, due to the sluggish diffusivity of Ni at low temperatures. There are three potential difficulties in using Ni cooling rates at low temperatures: (i) Ni diffusivities are typically extrapolated from higher-temperature measurements; (ii) Phase changes occur at low temperatures that may be difficult to take into account; and (iii) It appears that Ge in kamacite and taenite has continued to equilibrate (or attempted to equilibrate) at temperatures below those that formed the M-shaped Ni profile. Combining Ni measurements with those of other elements has the potential to provide a way to confirm or challenge Ni-determined cooling rates, as well as provide insight into the partitioning behaviors of elements during the cooling of iron meteorites. Despite these benefits, studies that examine elemental profiles of Ni along with other elements in iron meteorites are limited, often due to the low concentration levels of the other elements and associated analytical challenges. The Butler iron meteorite provides a good opportunity to conduct a multi-element analytical study, due to the higher concentration levels of key elements in addition to Fe and Ni. In this work, we perform combined analysis for six elements in the Butler iron to determine the relative behaviors of these elements during the evolution of iron meteorites, with implications for metallographic cooling

  8. Inverse Kinematic Solution of 5R Manipulator using ANN and ANFIS

    Directory of Open Access Journals (Sweden)

    Panchand Jha

    2014-12-01

    Full Text Available Inverse kinematics of manipulator comprises the computation required to find the joint angles for a given Cartesian position and orientation of the end effector. There is no unique solution for the inverse kinematics thus necessitating application of appropriate predictive models from the soft computing domain. Artificial neural network and adaptive neural fuzzy inference system techniques can be gainfully used to yield the desired results. This paper proposes structured artificial neural network (ANN model and adaptive neural fuzzy inference system (ANFIS to find the inverse kinematics solution of robot manipulator. The ANN model used is a multi-layered perceptron Neural Network (MLPNN. Wherein, gradient descent type of learning rules is applied. An attempt has been made to find the best ANN configuration for the problem. It is found that ANFIS gives better result and minimum error as compared to ANN.

  9. In Praise of Dissidence: Anne Lang-Etienne (1932-1991). Muriel Driver Memorial Lecture.

    Science.gov (United States)

    Thibeault, Rachel

    2002-01-01

    Discusses the life and work of Anne Lang-Etienne, a dissident occupational therapist who moved and shaped a generation of Canadian therapists and spurred the profession to action for social change. Includes 18 references. (JOW)

  10. 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...

  11. ANN-based Innovative Segmentation Method for Handwritten text in Assamese

    CERN Document Server

    Bhattacharyya, Kaustubh

    2009-01-01

    Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence. But prior to recognition, it is necessary to segment the character from the text to sentences, words etc. Segmentation of words into individual letters has been one of the major problems in handwriting recognition. Despite several successful works all over the work, development of such tools in specific languages is still an ongoing process especially in the Indian context. This work explores the application of ANN as an aid to segmentation of handwritten characters in Assamese- an important language in the North Eastern part of India. The work explores the performance difference obtained in applying an ANN-based dynamic segmentation algorithm compared to projection- based static segmentation. The algorithm involves, first training of an ANN with individual handwritten characters recorded from different individuals. Handwri...

  12. 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

  13. A Poem Is a House for Words: NCTE Profiles Mary Ann Hoberman

    Science.gov (United States)

    McClure, Amy A.; Ernst, Shirley B.

    2004-01-01

    A profile of Mary Ann Hoberman, the 13th winner of the NCTE Award for Excellence in Poetry for Children is given. She uses poetic techniques in innovative ways, yet her poems are very accessible to young children.

  14. 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...

  15. 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...

  16. 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

  17. Tallinna lasteaiad arenevad / Imbi Viisma, Anne Targem, Marika Pettai, Pille Kibur...[jt.

    Index Scriptorium Estoniae

    2003-01-01

    Tallinna lasteaianduse hetkeseisu arutasid vestlusringis linna haridusameti alushariduse peaspetsialist Imbi Viisma, vanemspetsialistid Anne Targem ja Marika Pettai, Tallinna Mahtra Lasteaia juhataja Pille Kibur ning Kadrioru Lasteaia juhataja Larissa Kot℗تatova / vahendas Anu Mõttus.

  18. 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)

  19. 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

  20. ANN hybrid model versus ARIMA and ARIMAX models of runoff coefficient

    Science.gov (United States)

    Pektaş, Ali Osman; Kerem Cigizoglu, H.

    2013-09-01

    In this study, monthly runoff coefficients of seven southern large basins are calculated and modeled to forecast a holdout dataset by using univariate autoregressive integrated moving average (ARIMA), multivariate ARIMA (ARIMAX), and Artificial neural network (ANN) models. The applied traditional model performances are found insufficient, since the characteristic behaviors of the time series of direct runoff coefficients are very complicated. Therefore, a new Hybrid approach is adopted by using time series decomposition procedure and ANN. ARIMA, ARIMAX, ANN, and Hybrid models are compared with each other. The results indicate that the new generated Hybrid approach can be generalized to boost the prediction capability of ANNs in complicated time series data. It is seen that the new model captures the physical behavior of the direct runoff coefficient time series. The semi-random spikes of the direct runoff coefficient series are approximated sufficiently.

  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. The Changing Role of Anne of Green Gables from the Perspective of Biblio-therapy

    Institute of Scientific and Technical Information of China (English)

    江雯捷

    2015-01-01

    Anne of Green Gables is L.M. Montgomery's masterpiece. In the book, Anne is initially a poor, ugly and uncultivated girl, and she even doesn't know how to pray. But she is also frank and pure and can never reconcile herself to insults. She struggles hard to protect women's personality and dignity, and pursues self-respect and self-esteem without fear or respite. Finally, she achieves happiness. This essay discusses Anne's character in the light of historical context, and more particularly, against a back-ground of the rules governing women's behaviour at the time the novel was written. What makes Anne change her attitude? Under-lying the discussion is the question:does Anne of Green Gables have anything to teach adolescents today? Anne is not initially inter-ested in conforming but gradually learns that she must do so in order to achieve happiness and harmony. Apologizing is an impor-tant part of this process. The essay focuses on five key apology scenes. In accordance with the principle of bibliotherapy, this essay demonstrates that Anne of Green Gables is a valuable model for teenage readers struggling with when, how and to what degree they should conform to social values and conventions. In the nineteenth century, women made up the majority of the reading public, when they were portrayed in literature, they were in the home. Undoubtfully, Anne of Green Gable is successfully made sense for the adolescents. It is a simple story about a child's basic needs of a home, love, friendship and acceptance. And it is also a psycho-logical study for adolescence to think, act and interact.

  3. AnnTools: a comprehensive and versatile annotation toolkit for genomic variants

    OpenAIRE

    Makarov, Vladimir; O'Grady, Tina; Cai, Guiqing; Lihm, Jayon; Buxbaum, Joseph D; Yoon, Seungtai

    2012-01-01

    Summary: AnnTools is a versatile bioinformatics application designed for comprehensive annotation of a full spectrum of human genome variation: novel and known single-nucleotide substitutions (SNP/SNV), short insertions/deletions (INDEL) and structural variants/copy number variation (SV/CNV). The variants are interpreted by interrogating data compiled from 15 constantly updated sources. In addition to detailed functional characterization of the coding variants, AnnTools searches for overlaps ...

  4. Fully parallel ANN-based arrhythmia classifier on a single-chip FPGA: FPAAC

    OpenAIRE

    ÖZDEMİR, Ahmet Turan; DANIŞMAN, Kenan

    2011-01-01

    Recognition of cardiac arrhythmias by electrocardiogram (ECG) is an important issue for diagnosis of cardiac abnormalities. Many studies on recognition of cardiac arrhythmias by ECG, using various techniques, have been performed in the past 20 years. Artificial neural networks (ANNs) are the most widely used tool in medical diagnosis systems (MDS) because of their powerful prediction characteristics. An ANN model is inspired by real biological neural networks, with a parallel structur...

  5. Forecasting the Colorado River Discharge Using an Artificial Neural Network (ANN) Approach

    OpenAIRE

    Mehrkesh, Amirhossein; Ahmadi, Maryam

    2014-01-01

    Artificial Neural Network (ANN) based model is a computational approach commonly used for modeling the complex relationships between input and output parameters. Prediction of the flow rate of a river is a requisite for any successful water resource management and river basin planning. In the current survey, the effectiveness of an Artificial Neural Network was examined to predict the Colorado River discharge. In this modeling process, an ANN model was used to relate the discharge of the Colo...

  6. ANN-Based Prediction and Optimization of Cooling System in Hotel Rooms

    Directory of Open Access Journals (Sweden)

    Jin Woo Moon

    2015-09-01

    Full Text Available This study aimed at developing an artificial-neural-network (ANN-based model that can calculate the required time for restoring the current indoor temperature during the setback period in accommodation buildings to the normal set-point temperature in the cooling season. By applying the calculated time in the control logic, the operation of the cooling system can be predetermined to condition the indoor temperature comfortably in a more energy-efficient manner. Three major steps employing the numerical computer simulation method were conducted for developing an ANN model and testing its prediction performance. In the development process, the initial ANN model was determined to have input neurons that had a significant statistical relationship with the output neuron. In addition, the structure of the ANN model and learning methods were optimized through the parametrical analysis of the prediction performance. Finally, through the performance tests in terms of prediction accuracy, the optimized ANN model presented a lower mean biased error (MBE rate between the simulation and prediction results under generally accepted levels. Thus, the developed ANN model was proven to have the potential to be applied to thermal control logic.

  7. Ricœur et Butler: Lumières sur le débat sexe/genre, à travers le prisme de l’identité narrative

    Directory of Open Access Journals (Sweden)

    Marjolaine Deschênes

    2013-05-01

    Full Text Available This article indicates a reflective paradigm generally ignored in feminist research regarding the sex/gender debate, as presented in the work of Judith Butler (Gender Trouble.  First, I address the fact that Butler’s philosophy is inscribed in the hermeneutical tradition of suspicion. Second, I put into relief the implicitly Platonic concept of mimesis, which is central to the anticipated subversion of gender, but uncriticized by Butler and others who follow her line of thought.  Third, since Butler’s feminism can’t ward off dualism, nor consider idem and ipse identity, I emphasize Paul Ricoeur ’s concept of triple mimesis and narrative identity, which allows us to depart from dichotomies and hierarchies.  Following the path of Ricoeur and Françoise Heritier, I finally defend a feminist hermeneutical point of view, which is differentialist and universal.

  8. Taxonomy and distribution pattern of the African rain forest butterfly genus Euphaedra Hübner sensu stricto with the description of three new subspecies of Euphaedra cyparissa (Cramer and one of E. sarcoptera (Butler (Lepidoptera, Nymphalidae, Limenitidinae, Adoliadini

    Directory of Open Access Journals (Sweden)

    Tomasz Pyrcz

    2013-05-01

    Full Text Available Updated data on the distribution, ecology and taxonomy of Euphaedra cyparissa (Cramer and Euphaedra sarcoptera (Butler are presented. Three new subspecies of E. cyparissa and one of E. sarcoptera are described and their geographic distribution is presented. The monophyly of the genus Euphaedra sensu Hecq is assessed based on morphological, in particular male and female genitalia, and behavioural traits. Possible evolutionary reasons for the convergence of colour pattern between the sympatric subspecies of E. cyparissa and E. sarcoptera are discussed.

  9. 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.

  10. Prediction of human skin permeability using artificial neural network (ANN)modeling

    Institute of Scientific and Technical Information of China (English)

    Long-jian CHEN; Guo-ping LIAN; Lu-jia HAN

    2007-01-01

    Aim: To develop an artificial neural network (ANN) model for predicting skin permeability (log Kp) of new chemical entities. Methods: A large dataset of 215experimental data points was compiled from the literature. The dataset was subdi-vided into 5 subsets and 4 of them were used to train and validate an ANN model.The same 4 datasets were also used to build a multiple linear regression (MLR)model. The remaining dataset was then used to test the 2 models. Abraham descriptors were employed as inputs into the 2 models. Model predictions were compared with the experimental results. In addition, the relationship between log Kp and Abraham descriptors were investigated. Results: The regression re-sults of the MLR model were n=215, determination coefficient (R2)=0.699, mean square error (MSE)=0.243, and F=493.556. The ANN model gave improved results with n=215, R2=0.832, MSE=0.136, and F=1050.653. The ANN model suggests that the relationship between log Kp and Abraham descriptors is non-linear. Conclusion:The study suggests that Abraham descriptors may be used to predict skin permeability, and the ANN model gives improved prediction of skin permeability.

  11. ANN-based wear performance prediction for plasma nitrided Ti6Al4V alloy

    Energy Technology Data Exchange (ETDEWEB)

    Kahraman, Fatih; Karadeniz, Sueleyman; Durmus, Izmir; Durmus, Huelya

    2012-07-01

    Surface modification of a Ti6Al4V titanium alloy was made by the plasma nitriding process. Plasma nitriding was performed in a constant gas mixture of 20% H{sub 2} -80% N{sub 2} at temperatures between 700 and 1000 C and process times between 2 and 15 h. Samples nitrided at different treatment times and temperatures were subjected to the dry sliding wear test using the pin-on-disc set up under 80N normal load with rotational speed of counter face disc of 0.8 m/s at room conditions. An artificial neural network (ANN) model of was developed for prediction of wear performance of the plasma nitrided Ti6Al4V alloy. The inputs of the ANN model were processing times and temperatures, diffusion layer thickness, Ti{sub 2}N thickness, TiN thickness and hardness. The output of the ANN model was wear loss. The model is based on the multilayer backpropagation neural technique. The ANN was trained with a comprehensive dataset collected from experimental conditions and results of authors. The model can be used for the prediction of wear properties of Ti6Al4V alloys nitrided at different parameters. The ANN model demonstrated the best statistical performance with the experimental results.

  12. ¿Por qué le llaman género cuando quieren decir sexo? Una aproximación a la teoría de la performatividad de Judith Butler

    Directory of Open Access Journals (Sweden)

    Eva Patricia Gil Rodríguez

    2002-11-01

    Full Text Available Este artículo pretende constituir una aproximación desde la Psicología Social a la teoría de la performatividad de género de Judith Butler. Si bien dentro del pensamiento feminista contemporáneo se ha venido asociando la categoría "sexo" al ámbito de lo natural y la categoría "género" a la dimensión cultural y socialmente construida de las categorías asociadas al sexo (siendo presentados ambos términos como un par de opuestos, Butler efectúa en su obra una deconstrucción de dicha dicotomía, mostrando como el sexo es ya de por sí una construcción social que, por tanto, ha sido género todo el tiempo. En este texto también se intenta indagar en la aportación que la teoría de performatividad puede suponer para una teoría de la subjetividad en psicología social; para ello resulta fundamental la defensa que Butler hace de la aparentemente paradójica posibilidad de transformación social a partir de las categorías sociales que, a la vez que nos conforman como sujetos, nos están subordinando.

  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. Application of chaotic noise reduction techniques to chaotic data trained by ANN

    Indian Academy of Sciences (India)

    C Chandra Shekara Bhat; M R Kaimal; T R Ramamohan

    2001-10-01

    We propose a novel method of combining artificial neural networks (ANNs) with chaotic noise reduction techniques that captures the metric and dynamic invariants of a chaotic time series, e.g. a time series obtained by iterating the logistic map in chaotic regimes. Our results indicate that while the feedforward neural network is capable of capturing the dynamical and metric invariants of chaotic time series within an error of about 25%, ANNs along with chaotic noise reduction techniques, such as Hammel’s method or the local projective method, can significantly improve these results. This further suggests that the effort on the ANN to train data corresponding to complex structures can be significantly reduced. This technique can be applied in areas like signal processing, data communication, image processing etc.

  15. ADAPTIVE HARMONIC CANCELLATION APPLIED IN ELECTRO-HYDRAULIC SERVO SYSTEM WITH ANN

    Institute of Scientific and Technical Information of China (English)

    Yao Jianjun; Wu Zhenshun; Han Junwei; Yue Donghai

    2004-01-01

    The method for harmonic cancellation based on artificial neural network (ANN) is proposed. The task is accomplished by generating reference signal with frequency that should be eliminated from the output. The reference input is weighted by the ANN in such a way that it closely matches the harmonic. The weighted reference signal is added to the fundamental signal such that the output harmonic is cancelled leaving the desired signal alone. The weights of ANN are adjusted by output harmonic, which is isolated by a bandpass filter. The above concept is used as a basis for the development of adaptive harmonic cancellation (AHC) algorithm. Simulation results performed with a hydraulic system demonstrate the efficiency and validity of the proposed AHC control scheme.

  16. Effect of promoters on dynamics of gas-solid fluidized bed-Statistical and ANN approaches

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    In this study, a bubbling fluidized bed column, 99 mm in inside diameter and 960 mm in height, was used to investigate the effect of rod and disc promoters on fluctuation and expansion ratios. Factorial design (statistical approach) and artificial neural network (ANN) models were developed to predict the fluctuation and expansion ratios in this gas-solid fluidized bed with varying gas flow rates, bed heights, particle sizes and densities. The fluctuation and expansion predicted using these statistical and ANN models, for beds with and without promoters, were found to agree well with corresponding experiments. The statistical model was found to be superior to the ANN model due to its ability to take into account both individual and interactive effects. The rod promoters were found to be more effective in reducing bed fluctuation, and in increasing bed expansion at high gas mass velocities.

  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. The fragility of identity: about the internal experience of gender in Law N° 26.743 Reflections from Pierre Bourdieu and Judith Butler

    Directory of Open Access Journals (Sweden)

    Lucía Inés Coppa

    2014-12-01

    Full Text Available The following article intends to approach some aspects of bourdiean thoughts in order to develop an approach to the notion of gender and the way in which – within an androcentric symbolic order and a normative heterosexual matrix – function these diagrams in the way gender makes up the subjective corporal form. From those notions, we want to reflect about the emergency of sexual identities that transgress the cultural precepts around gender founded in doxic experience. Likewise, we will sketch a brief reference among inconscient dimension across psychoanalytical tradition and performative theory across Judith Butler in the feminists debates.Through this conceptual framework we will attempt to examine how may the dominant representations of femininity, androcentric and heterosexually regulated, influence the identity formation of a feminine transsexual person, founded in the morphological ideal which has sustenance in the man-woman dichotomy, leaving the questioning open about the ways that the transgressive assumption of sex of what appears like the order of things may take in a binomic gender matrix, examining the reception of this debates in te Gender Identity Law N° 26.743

  19. Determination of the lead-acid battery's dynamic response using Butler-Volmer equation for advanced battery management systems in automotive applications

    Science.gov (United States)

    Piłatowicz, Grzegorz; Budde-Meiwes, Heide; Kowal, Julia; Sarfert, Christel; Schoch, Eberhard; Königsmann, Martin; Sauer, Dirk Uwe

    2016-11-01

    Micro-hybrid vehicles (μH) are currently starting to dominate the European market and seize constantly growing share of other leading markets in the world. On the one hand, the additional functionality of μH reduces the CO2 emissions and improves the fuel economy, but, on the other hand, the additional stress imposed on the lead-acid battery reduces significantly its expected service life in comparison to conventional vehicles. Because of that μH require highly accurate battery state detection solutions. They are necessary to ensure the vehicle reliability requirements, prolong service life and reduce warranty costs. This paper presents an electrical model based on Butler-Volmer equation. The main novelty of the presented approach is its ability to predict accurately dynamic response of a battery considering a wide range of discharge current rates, state-of-charges and temperatures. Presented approach is fully implementable and adaptable in state-of-the-art low-cost platforms. Additionally, shown results indicate that it is applicable as a supporting tool for state-of-charge and state-of-health estimation and scalable for the different battery technologies and sizes. Validation using both static pulses and dynamic driving profile resulted in average absolute error of 124 mV regarding cranking current rate of 800 A respectively.

  20. Multi-output ANN Model for Prediction of Seven Meteorological Parameters in a Weather Station

    Science.gov (United States)

    Raza, Khalid; Jothiprakash, V.

    2014-12-01

    The meteorological parameters plays a vital role for determining various water demand in the water resource systems, planning, management and operation. Thus, accurate prediction of meteorological variables at different spatial and temporal intervals is the key requirement. Artificial Neural Network (ANN) is one of the most widely used data driven modelling techniques with lots of good features like, easy applications, high accuracy in prediction and to predict the multi-output complex non-linear relationships. In this paper, a Multi-input Multi-output (MIMO) ANN model has been developed and applied to predict seven important meteorological parameters, such as maximum temperature, minimum temperature, relative humidity, wind speed, sunshine hours, dew point temperature and evaporation concurrently. Several types of ANN, such as multilayer perceptron, generalized feedforward neural network, radial basis function and recurrent neural network with multi hidden layer and varying number of neurons at the hidden layer, has been developed, trained, validated and tested. From the results, it is found that the recurrent MIMO-ANN having 28 neurons in a single hidden layer, trained using hyperbolic tangent transfer function with a learning rate of 0.3 and momentum factor of 0.7 performed well over the other types of MIMO-ANN models. The MIMO ANN model performed well for all parameters with higher correlation and other performance indicators except for sunshine hours. Due to erratic nature, the importance of each of the input over the output through sensitivity analysis indicated that relative humidity has highest influence while others have equal influence over the output.

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

    OpenAIRE

    M. Madheswaran; Muruganandam, M.

    2012-01-01

    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 implemente...

  2. 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.

  3. The TiN Content Computer Prediction Based on ANN and AR Model

    OpenAIRE

    Ma Chunyang; Ding Junjie; Ning Yumei; Chu Dianqing

    2013-01-01

    Artificial Neural Network (ANN) and autoregressive model (AR model) of nano TiN particles content in Ni-TiN composite coating was established by the method of time series analysis. In this paper, we want to seek for the TiN content computer prediction in Ni-TiN composite coatings by using ANN and AR model. The trend of the nano TiN particles content variation was forecasted with the AR model, and the prediction value and experimental test results were compared. The XRD patterns were investiga...

  4. Anne Hutchinson : uma pregadora e defensora da liberdade religiosa em New England

    OpenAIRE

    Nunes, Rosa Maria Magalhães

    2009-01-01

    Dissertação de Mestrado em Estudos Americanos apresentada à Universidade Aberta Anne Hutchinson (1591-1643) deixou a sua confortável casa em Inglaterra e, com o seu marido e filhos, instalou-se em Boston, na Colónia da Baía de Massachusetts. Sendo Anne filha de um ministro, ouviu sempre discussões e debates religiosos desde tenra idade, tendo como mais importante a sua devoção a Deus. Por isso decidiu seguir o seu querido ministro John Cotton, quando este emigrou para a América. O seu e...

  5. Machine Learning ANN Models for Predicting Sensory Quality of Roasted Coffee Flavoured Sterilized Drink

    Directory of Open Access Journals (Sweden)

    Sumit GOYAL

    2013-11-01

    Full Text Available This paper highlights the significance of feedforward artificial neural network models for predicting shelf life of roasted coffee falvoured sterilized drink. Coffee is one of the most important products for trade in international market. Single as well as multilayer models were explored and different backpropagation algorithms were investigated, Root mean square error and coefficient of determination R2 were used to compare the prediction performance of single and multilayer feedforward ANN models. Experimental results suggested that multilayer models take less time and give better results as compared to single layer ANN models for prediction of sensory quality of roasted coffee falvoured sterilized drink..

  6. AUTOMATIC GENERATION CONTROL OF MULTI AREA POWER SYSTEMS USING ANN CONTROLLER

    Directory of Open Access Journals (Sweden)

    Bipasha Bhatia

    2012-07-01

    Full Text Available This paper presents the use of one of the methods of artificial intelligence to study the automatic generation control of interconnected power systems. In the given paper, a control line of track is established for interconnected three area thermal-thermal-thermal power system using generation rate constraints (GRC &Artificial Neural Network (ANN. The working of the controllers is simulated using MATLAB/SIMULINK package. The outputs using both controllers are compared and it is established that ANN based approach is better than GRC for 1% step load conditions.

  7. Classification of Arrhythmias with LDA and ANN using Orthogonal Rotations for Feature Reduction

    Directory of Open Access Journals (Sweden)

    Manpreet Kaur

    2012-07-01

    Full Text Available This paper presents a new approach for feature reduction by using orthogonal rotations. Wavelet coefficients for beat segments are taken as features which are reduced by factor analysis method using orthogonal rotations. LDA (Linear Discriminant Analysis and ANN (Artificial Neural Network classifiers are used for classification. The signals are taken from MIT-BIH arrhythmia database to classify into Normal, PVC, Paced, LBBB and RBBB. The performance of classification output has been compared by the performance parameters. Both the classifiers have given best overall accuracy for equimax rotation. 96% accuracy is achieved with LDA classifier,99.2% accuracy is achieved using ANN.

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

    NARCIS (Netherlands)

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

    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,

  9. 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 writer. Over…

  10. 76 FR 36151 - Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2011-06-21

    ... from the Medical School to the Museum of Anthropology. Written on this cranium is: ``The skull of a... 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...

  11. Jane Ann Williams named director of education and training for multicultural affairs

    OpenAIRE

    Harris, Sally L.

    2005-01-01

    Jane Ann Williams, former director of professional programs at Mercer University, has been named director of education and training for multicultural affairs at Virginia Tech. In this capacity, Williams will provide ongoing leadership and management of the diversity-related educational and training programs for the university community.

  12. 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.

  13. 33 CFR 80.115 - Portland Head, ME to Cape Ann, MA.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Portland Head, ME to Cape Ann, MA. 80.115 Section 80.115 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY..., MA. (a) Except inside lines specifically described in this section, the 72 COLREGS shall apply on...

  14. Application of ANN to evaluate effective parameters affecting failure load and displacement of RC buildings

    Directory of Open Access Journals (Sweden)

    M. Hakan Arslan

    2009-06-01

    Full Text Available This study investigated the efficiency of an artificial neural network (ANN in predicting and determining failure load and failure displacement of multi story reinforced concrete (RC buildings. The study modeled a RC building with four stories and three bays, with a load bearing system composed of columns and beams. Non-linear static pushover analysis of the key parameters in change defined in Turkish Earthquake Code (TEC-2007 for columns and beams was carried out and the capacity curves, failure loads and displacements were obtained. Totally 720 RC buildings were analyzed according to the change intervals of the parameters chosen. The input parameters were selected as longitudinal bar ratio (ρl of columns, transverse reinforcement ratio (Asw/sc, axial load level (N/No, column and beam cross section, strength of concrete (fc and the compression bar ratio (ρ'/ρ on the beam supports. Data from the nonlinear analysis were assessed with ANN in terms of failure load and failure displacement. For all outputs, ANN was trained and tested using of 11 back-propagation methods. All of the ANN models were found to perform well for both failure loads and displacements. The analyses also indicated that a considerable portion of existing RC building stock in Turkey may not meet the safety standards of the Turkish Earthquake Code (TEC-2007.

  15. Eesti ja Soome Nordea devalveerimisriskis eri meelt / Hille Tressum, Anne Oja

    Index Scriptorium Estoniae

    Tressum, Hille

    2007-01-01

    Nordea Markets soovitab investoritel kaitsta end Eesti krooni devalveerimise riski vastu. Nordea Eesti kontor peab aga devalveerimisohtu ülepaisutatuks. Diagramm: Krooni ja lati laenuintressi vahe. Vt. samas: Kindlustus kaitset ei paku; Välispangad külvavad devalveerimishirmu; Agnes Ojala, Anne Oja. Eesti Pank: Citibank unustab, et elame ELis; Klientide käitumises muret ei paista; Poliitik: majandus on tsunamiohus

  16. 77 FR 61624 - Patuxent Research Refuge, Prince George's and Anne Arundel Counties, MD; Draft Comprehensive...

    Science.gov (United States)

    2012-10-10

    ... measures to control invasive species, monitor and abate diseases affecting wildlife and plant health... Federal Register (75 FR 12563; March 16, 2010). Patuxent RR was established in 1936 by Executive Order by... Anne Arundel Counties, Maryland, for public review and comment. The draft CCP/EA describes our...

  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. 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

  19. 76 FR 80392 - Notice of Inventory Completion: University of Michigan Museum of Anthropology, Ann Arbor, MI

    Science.gov (United States)

    2011-12-23

    ... National Park Service Notice of Inventory Completion: University of Michigan Museum of Anthropology, Ann... the human remains was made by University of Michigan officials and its Museum of Anthropology... residence to the University of Michigan, where they were accessioned into the Museum of...

  20. Study on Residual Oil HDS Process with Mechanism Model and ANN Model

    Institute of Scientific and Technical Information of China (English)

    Ma Chengguo; Weng Huixin

    2009-01-01

    Based on the Residual Oil Hydrodesulfurization Treatment Unit (S-RHT), the n-order reaction kinetic model for residual oil HDS reactions and artificial neural network (ANN) model were developed to determine the sulfur content of hydrogenated residual oil. The established ANN model covered 4 input variables, 1 output variable and 1 hidden layer with 15 neurons. The comparison between the results of two models was listed. The results showed that the predicted mean relative errors of the two models with three different sample data were less than 5% and both the two models had good predictive precision and extrapolative feature for the HDS process. The mean relative error of 5 sets of testing data of the ANN model was 1.62%-3.23%, all of which were smaller than that of the common mechanism model (3.47%-4.13%). It showed that the ANN model was better than the mechanism model both in terms of fitting results and fitting difficulty. The models could be easily applied in practice and could also provide a reference for the further research of residual oil HDS process.

  1. Audits of Meaning: A Festschrift in Honor of Ann E. Berthoff.

    Science.gov (United States)

    Smith, Louise Z., Ed.

    A tribute to the work of Ann Berthoff, this book--a collection of 6 poems and 21 essays--explores issues in the philosophy and teaching of composition. Each of the five sections is introduced with a poem by Marie Ponsot. Essays and their authors consist of (1) "Genre Theory, Academic Discourse, and Writing within Disciplines" (James F. Slevin);…

  2. 78 FR 76169 - Patuxent Research Refuge, Prince George's and Anne Arundel Counties, MD; Final Comprehensive...

    Science.gov (United States)

    2013-12-16

    .... Geological Survey (USGS) Patuxent Wildlife Research Center, a leading international research institute for... Fish and Wildlife Service Patuxent Research Refuge, Prince George's and Anne Arundel Counties, MD... significant impact (FONSI) for Patuxent Research Refuge (Patuxent RR, refuge), located in Prince George's...

  3. 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

  4. Optimization of PV array inclination in India using ANN estimator: Method comparison study

    Indian Academy of Sciences (India)

    T V Dixit; Anamika Yadav; S Gupta

    2015-08-01

    The network of solar power plants in distributed power system (in India) is growing exponentially. Since tilt angle affects the energy collection by solar panels, the conduction of experiments to find optimum tilt angle is expensive and time consuming in each location. Although different non-linear, empirical models have been proposed by different researchers in India, they have too many constraints and needs complex and rigorous computational effort each time. In this paper, a data driven approach such as ANN estimator has been proposed to estimate (opt) at which solar energy collection of Photo-Voltaic Array (PVA) will be maximum at selected cities of India. The latitude () elevation (L) from sea level and monthly mean hourly and daily global solar irradiance (g) of location are taken into account for this study. The ANN estimator takes g, and L of site as inputs which are easily available and estimate optimum tilt angle almost instantaneously while testing. The proposed ANN estimator results are compared with analytical results. To validate the performance of ANN estimator results, statistical analysis study is carried out. Where, two statistical approaches such as descriptive method and Altman–Bland methods are applied. The ANA estimator results are found much close to ANA results at 95% confidence interval under statistical study.

  5. 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 provides…

  6. Childhood and Modernity: Dark Themes in Carol Ann Duffy's Poetry for Children

    Science.gov (United States)

    Whitley, David

    2007-01-01

    Carol Ann Duffy's three volumes of children's poetry are important and interesting because they emerge from the work of a writer whose adult poetry has persistently associated childhood with dark and difficult areas of experience. This article explores what happens to such challenging material when a poet of major significance changes the focus of…

  7. 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 Jung was…

  8. [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

  9. 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

  10. 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…

  11. Application of ANN and fuzzy logic algorithms for streamflow modelling of Savitri catchment

    Indian Academy of Sciences (India)

    Mahesh Kothari; K D Gharde

    2015-07-01

    The streamflow prediction is an essentially important aspect of any watershed modelling. The black box models (soft computing techniques) have proven to be an efficient alternative to physical (traditional) methods for simulating streamflow and sediment yield of the catchments. 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 (1992–2011) rainfall and other hydrological data were considered, of which 13 years (1992–2004) was for training and rest 7 years (2005–2011) for validation of the models. The mode performance was evaluated by R, RMSE, EV, CE, and MAD statistical parameters. It was found that, ANN model performance improved with increasing input vectors. The results with fuzzy logic models predict the streamflow with single input as rainfall better in comparison to multiple input vectors. While comparing both ANN and FL algorithms for prediction of streamflow, ANN model performance is quite superior.

  12. Evaluation of alternative management practices with the AnnAGNPS model in the Carapelle Watershed

    Science.gov (United States)

    The Annualized Agricultural Non-point Source (AnnAGNPS) model can be used to analyze the effectiveness of management and conservation practices that can control the impact of erosion and subsequent sediment loads in agricultural watersheds. A Mediterranean medium-size watershed (Carapelle) in Apulia...

  13. Process Control Strategies for Dual-Phase Steel Manufacturing Using ANN and ANFIS

    Science.gov (United States)

    Vafaeenezhad, H.; Ghanei, S.; Seyedein, S. H.; Beygi, H.; Mazinani, M.

    2014-11-01

    In this research, a comprehensive soft computational approach is presented for the analysis of the influencing parameters on manufacturing of dual-phase steels. A set of experimental data have been gathered to obtain the initial database used for the training and testing of both artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The parameters used in the strategy were intercritical annealing temperature, carbon content, and holding time which gives off martensite percentage as an output. A fraction of the data set was chosen to train both ANN and ANFIS, and the rest was put into practice to authenticate the act of the trained networks while seeing unseen data. To compare the obtained results, coefficient of determination and root mean squared error indexes were chosen. Using artificial intelligence methods, it is not necessary to consider and establish a preliminary mathematical model and formulate its affecting parameters on its definition. In conclusion, the martensite percentages corresponding to the manufacturing parameters can be determined prior to a production using these controlling algorithms. Although the results acquired from both ANN and ANFIS are very encouraging, the proposed ANFIS has enhanced performance over the ANN and takes better effect on cost-reduction profit.

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

    NARCIS (Netherlands)

    Brillenburg Wurth, C.A.W.

    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 mater

  15. Comparison of the accuracy of SST estimates by artificial neural networks (ANN) and other quantitative methods using radiolarian data from the Antarctic and Pacific Oceans

    Digital Repository Service at National Institute of Oceanography (India)

    Gupta, S.M.; Malmgren, B.A.

    ) regression, the maximum likelihood (ML) method, and artificial neural networks (ANNs), based on radiolarian faunal abundance data from surface sediments from the Antarctic and Pacific Oceans. Recent studies have suggested that ANNs may represent one...

  16. 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. PMID:26085678

  17. Rezension von: Hanna Meißner: Jenseits des autonomen Subjekts. Zur gesellschaftlichen Konstitution von Handlungsfähigkeit im Anschluss an Butler, Foucault und Marx. Bielefeld: transcript Verlag 2010.

    Directory of Open Access Journals (Sweden)

    Stefan Schoppengerd

    2011-12-01

    Full Text Available Die Autorin nimmt feministische und postkoloniale Problematisierungen des Subjektbegriffes auf. Diese implizieren eine grundsätzliche Infragestellung subjektiver, kritischer Handlungsfähigkeit. Um die Vorstellung einer solchen nicht gänzlich verwerfen zu müssen, rekonstruiert sie drei theoretische Perspektiven (Judith Butler, Michel Foucault, Karl Marx mit unterschiedlichen Reichweiten und Gegenständen, die aber gemein haben, subjektive Handlungsfähigkeit gerade als Effekt widersprüchlicher Strukturen zu konzeptionalisieren. Dabei fokussiert sie nicht die – durchaus vorhandenen – Widersprüche zwischen den Ansätzen, sondern stellt sie in Form einer Synopse nebeneinander.

  18. Overexpression of Arabidopsis AnnAt8 Alleviates Abiotic Stress in Transgenic Arabidopsis and Tobacco

    Science.gov (United States)

    Yadav, Deepanker; Ahmed, Israr; Shukla, Pawan; Boyidi, Prasanna; Kirti, Pulugurtha Bharadwaja

    2016-01-01

    Abiotic stress results in massive loss of crop productivity throughout the world. Because of our limited knowledge of the plant defense mechanisms, it is very difficult to exploit the plant genetic resources for manipulation of traits that could benefit multiple stress tolerance in plants. To achieve this, we need a deeper understanding of the plant gene regulatory mechanisms involved in stress responses. Understanding the roles of different members of plant gene families involved in different stress responses, would be a step in this direction. Arabidopsis, which served as a model system for the plant research, is also the most suitable system for the functional characterization of plant gene families. Annexin family in Arabidopsis also is one gene family which has not been fully explored. Eight annexin genes have been reported in the genome of Arabidopsis thaliana. Expression studies of different Arabidopsis annexins revealed their differential regulation under various abiotic stress conditions. AnnAt8 (At5g12380), a member of this family has been shown to exhibit ~433 and ~175 fold increase in transcript levels under NaCl and dehydration stress respectively. To characterize Annexin8 (AnnAt8) further, we have generated transgenic Arabidopsis and tobacco plants constitutively expressing AnnAt8, which were evaluated under different abiotic stress conditions. AnnAt8 overexpressing transgenic plants exhibited higher seed germination rates, better plant growth, and higher chlorophyll retention when compared to wild type plants under abiotic stress treatments. Under stress conditions transgenic plants showed comparatively higher levels of proline and lower levels of malondialdehyde compared to the wild-type plants. Real-Time PCR analyses revealed that the expression of several stress-regulated genes was altered in AnnAt8 over-expressing transgenic tobacco plants, and the enhanced tolerance exhibited by the transgenic plants can be correlated with altered expressions of

  19. Theory Study and Application of the BP-ANN Method for Power Grid Short-Term Load Forecasting

    Institute of Scientific and Technical Information of China (English)

    Xia Hua; Gang Zhang; Jiawei Yang; Zhengyuan Li

    2015-01-01

    Aiming at the low accuracy problem of power system short⁃term load forecasting by traditional methods, a back⁃propagation artifi⁃cial neural network (BP⁃ANN) based method for short⁃term load forecasting is presented in this paper. The forecast points are re⁃lated to prophase adjacent data as well as the periodical long⁃term historical load data. Then the short⁃term load forecasting model of Shanxi Power Grid (China) based on BP⁃ANN method and correlation analysis is established. The simulation model matches well with practical power system load, indicating the BP⁃ANN method is simple and with higher precision and practicality.

  20. 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.

  1. Det er ikke godt å si: Om tilblivelser i Anne Biringvads malerier

    Directory of Open Access Journals (Sweden)

    Sissel Gunnerød

    2014-07-01

    Full Text Available Spring 2012 the artist Anne Biringvad exhibited expressive paintings including daring use of textile fragments from flea markets in the art works. This event occurred in Galleri Semmingsen at Galleri Trafo in Asker. What happens in Anne Biringvads’ paintings? The textiles become a sort of desire grafting on the paintings, proliferating. In this article Gunnerød approaches the paintings as an event, sensory becoming, using Gilles Deleuze’ og Félix Guattaris’ concept of art as sensations, a compound of affects and percepts. The article also asks whether Biringvads’ paintings can be viewed as a minor practice deterritorializating the major language, as Deleuze and Guattari express it in Kafka – Toward a Minor Literature (1986.  Deleuze and Guattari make minor preferable to major art. Using Michel Foucault’s concept of heterotopias Gunnerød asks whether these paintings invert the real sites that exist within the culture.

  2. Combined ANN prediction model for failure depth of coal seam floors

    Institute of Scientific and Technical Information of China (English)

    WANG Lian-guo; ZHANG Zhi-kang; LU Yin-long; YANG Hong-bo; YANG Sheng-qiang; SUN Jian; ZHANG Jin-yao

    2009-01-01

    Failure depth of coal seam floors is one of the important considerations that must be kept in mind when mining is carried out above a confined aquifer. In order to study the factors that affect the failure depth of coal seam floors such as mining depth, coal seam pitch, mining thickness, workface length and faults, we propose a combined artificial neural networks (ANN) prediction model for failure depth of coal seam floors on the basis of existing engineering data by using genetic algorithms to train the ANN. A practical engineering application at the Taoyuan Coal Mine indicates that this method can effectively determine the network struc-ture and training parameters, with the predicted results agreeing with practical measurements. Therefore, this method can be applied to relevant engineering projects with satisfactory results.

  3. Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN

    Directory of Open Access Journals (Sweden)

    U. Feister

    2008-01-01

    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. 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.

  4. Long-term solar UV radiation reconstructed by Artificial Neural Networks (ANN)

    Science.gov (United States)

    Feister, U.; Junk, J.; Woldt, M.

    2008-01-01

    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. 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. 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...

  6. FEM and ANN combined approach for predicting pressure source parameters at Etna volcano

    Directory of Open Access Journals (Sweden)

    A. Di Stefano

    2010-05-01

    Full Text Available A hybrid approach for forward and inverse geophysical modeling, based on Artificial Neural Networks (ANN and Finite Element Method (FEM, is proposed in order to properly identify the parameters of volcanic pressure sources from geophysical observations at ground surface. The neural network is trained and tested with a set of patterns obtained by the solutions of numerical models based on FEM. The geophysical changes caused by magmatic pressure sources were computed developing a 3-D FEM model with the aim to include the effects of topography and medium heterogeneities at Etna volcano. ANNs are used to interpolate the complex non linear relation between geophysical observations and source parameters both for forward and inverse modeling. The results show that the combination of neural networks and FEM is a powerful tool for a straightforward and accurate estimation of source parameters in volcanic regions.

  7. Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain.

    Science.gov (United States)

    Hussain, Amjad; Syed, Muhammad Ali; Abbas, Nasir; Hanif, Sana; Arshad, Muhammad Sohail; Bukhari, Nadeem Irfan; Hussain, Khalid; Akhlaq, Muhammad; Ahmad, Zeeshan

    2016-06-01

    A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach. PMID:27279067

  8. Detection and classification of winding faults in windmill generators using Wavelet Transform and ANN

    Energy Technology Data Exchange (ETDEWEB)

    Gketsis, Zacharias E.; Zervakis, Michalis E.; Stavrakakis, George [Department of Electronics and Computer Engineering, Technical University of Crete, Chania 73100 (Greece)

    2009-11-15

    This paper exploits the Wavelet Transform (WT) analysis along with Artificial Neural Networks (ANN) for the diagnosis of electrical machines winding faults. A novel application is presented exploring the problem of automatically identifying short circuits of windings, which often appear during machine manufacturing and operation. Such faults are usually resulting from electrodynamics forces generated during the flow of large short circuit currents, as well as forces occurring when the machines are transported. The early detection and classification of winding failures is of particular importance, as these kinds of defects can lead to winding damage due to overheating, imbalance, etc. Application results and investigations of windmill generator winding turn-to-turn faults between adjacent winding wires are presented. The ANN approach is proven effective in detecting and classifying faults based on WT features extracted from high frequency measurements of the admittance, current, or voltage responses. (author)

  9. Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain.

    Science.gov (United States)

    Hussain, Amjad; Syed, Muhammad Ali; Abbas, Nasir; Hanif, Sana; Arshad, Muhammad Sohail; Bukhari, Nadeem Irfan; Hussain, Khalid; Akhlaq, Muhammad; Ahmad, Zeeshan

    2016-06-01

    A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.

  10. Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain

    Directory of Open Access Journals (Sweden)

    Hussain Amjad

    2016-06-01

    Full Text Available A novel mucoadhesive buccal tablet containing flurbiprofen (FLB and lidocaine HCl (LID was prepared to relieve dental pain. Tablet formulations (F1-F9 were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC and sodium alginate (SA. The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release, which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.

  11. 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...

  12. A UPFC damping control scheme using Lead-Lag and ANN based Adaptive controllers

    Directory of Open Access Journals (Sweden)

    D. Ramesh

    2012-09-01

    Full Text Available Low Frequency Oscillations (LFO occur inpower systems because of lack of the damping torque inorder to dominance to power system disturbances aschange in mechanical input power. In the recent pastPower System Stabilizer (PSS was used to damp LFO.FACTs devices, such as Unified Power Flow Controller(UPFC, can control power flow and increase transientstability. So UPFC may be used to damp LFO instead ofPSS. UPFC damps LFO through direct control of voltageand power. In this research the linearized model ofsynchronous machine (Heffron-Philips connected toinfinite bus (Single Machine-Infinite Bus: SMIB withUPFC is used and also in order to damp LFO, adaptiveANN damping controller for UPFC is designed andsimulated. Simulation is performed for various types ofloads and for different disturbances. Simulation resultsdemonstrate that the developed ANN damping controllerwould be more effective in damping electromechanicaloscillations in comparison with the conventional lead-lagcontroller.

  13. Forecasting the Colorado River Discharge Using an Artificial Neural Network (ANN) Approach

    CERN Document Server

    Mehrkesh, Amirhossein

    2014-01-01

    Artificial Neural Network (ANN) based model is a computational approach commonly used for modeling the complex relationships between input and output parameters. Prediction of the flow rate of a river is a requisite for any successful water resource management and river basin planning. In the current survey, the effectiveness of an Artificial Neural Network was examined to predict the Colorado River discharge. In this modeling process, an ANN model was used to relate the discharge of the Colorado River to such parameters as the amount of precipitation, ambient temperature and snowpack level at a specific time of the year. The model was able to precisely study the impact of climatic parameters on the flow rate of the Colorado River.

  14. 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

  15. Ecotourism Challenges: the Case Study of Sainte-Anne Commune (Martinique, FWI)

    OpenAIRE

    Theng, Sopheap; Tatar, Corina

    2016-01-01

    Sustainable tourism and ecotourism open new perspectives in tourism due to renewed approaches, another review of resources, other relationships between tourists and hosts. After noting the range of possibilities regarding ecotourism, the objective of this study is to highlight tourism issues in the municipality of Saint-Anne (south of Martinique) - the main tourism municipality of the island. The municipal team runs a voluntary program of sustainable development aiming to inserting tourism in...

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

    OpenAIRE

    Ronghai He; Haile Ma; Weirui Zhao; Wenjuan Qu; Jiewen Zhao; Lin Luo; Wenxue Zhu

    2012-01-01

    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 . 9 2 8 , and the model was applied in ACE-inhibitory ...

  17. A Self-Adaptive Control Method for Uncertainty Systems Based on ANN with AEP

    Institute of Scientific and Technical Information of China (English)

    WANG Ping; YANG Ru-qing

    2007-01-01

    A self-adaptive control method is proposed basedon an artificial neural network(ANN) with acceleratedevolutionary programming(AEP.) algorithm. The neuralnetwork is used to model the uncertainty process, fromwhich the teacher signals are produced online to regulate theparameters of the controller. The accelerated evolutionaryprogramming is used to train the neural network. Theexperiment results show that the method can obviouslyimprove the dynamic performance of uncertainty systems.

  18. Anne Boyd and Asia Music : the Formation of a Composer

    OpenAIRE

    TOKITA, Alison

    1996-01-01

    The appropriation of Asian music to form a contemporary musical voice can be observed in many countries. This study of the Australian woman composer, Anne Boyd (b. 1946), shows how Asian, particularly Japanese music was the essential stimulus for the creation of a personal, identifiably female musical idiom. Boyd's style reflects her understanding of the importance of meditative qualities in Asian music. A key example of her meditative style is the unaccompanied choral piece ""As I crossed...

  19. 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.

  20. Mehed kasvatavad lapsi / Evar Post ; kommenteerivad Ave Kalk, Heda Kala, Anneli Võsaste, Mare Vassiljev, Kimmo Laande

    Index Scriptorium Estoniae

    Post, Evar, 1967-

    2007-01-01

    Meesõpetajatest lasteaias. Räägivad Kadrina Sipsiku lasteaia viieaastaste laste õpetaja Raido Parve ja Võru lasteaia Punamütsike 3-4 aastaste laste õpetaja Aivar Koger. Kommenteerivad Punamütsikese lasteaia juhataja Ave Kalk, haridusministeeriumi alushariduse spetsialist Heda Kala, Tartu maavalitsuse hariduse- ja kultuuriosakonna juhataja Anneli Võsaste, TLÜ Rakvere kolledži õppealajuhataja Mare Vassiljev ning TLÜ Rakvere kolledži alushariduse pedagoogi eriala cum laude lõpetanud Kimmo Laande

  1. Année de la France en Chine octobre 2004-juillet 2005

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    L'Année de la France en Chine sera inaugruée le 10 octobre 2004,à l'occasion de la visite d'Etat du président Jacques Chirac.Dès le premier joure,une exposition sur le design et la création industrielle sera présentée en meme temps qu'une exposition sur I'impressionnisme,

  2. Implementation of ANN on CCHP system to predict trigeneration performance with consideration of various operative factors

    International Nuclear Information System (INIS)

    Highlights: • ANN modeling tool was implemented on the CCHP system. • The best ANN topology was detected 10–8–9 with Levenberg–Marquadt algorithm. • The system is more sensitive of CC outlet temperature and turbine isentropic efficiency. • The lowest RMSE = 3.13e−5 and the best R2 = 0.999 is related to lambda and second law efficiency terms, respectively. - Abstract: A detailed investigation was aimed based on numerical thermodynamic survey and artificial neural network (ANN) modeling of the trigeneration system. The results are presented in two pivotal frameworks namely the sensitivity analysis and ANN prediction capability of proposed modeling. The underlying operative parameters were chosen as input parameters from different cycles and components, while the exergy efficiency, exergy loss, coefficient of performance, heating load exergy, lambda, gas turbine power, exergy destruction, actual outlet air compressor temperature, and heat recovery gas steam generator (HRSG) outlet temperature were taken as objective output parameters for the modeling purpose. Up to now, no significant step was taken to investigate the compound power plant with thermodynamic analyses and network predictability hybrid in such a detailed oriented approach. It follows that multilayer perceptron neural network with back propagation algorithm deployed with 10–8–9 configuration results in the modeling reliability ranged within R2 = 0.995–0.999. When dataset treated with trainlm learning algorithm and diversified neurons, the mean square error (MSE) is obtained equal to 0.2175. This denotes a powerful modeling achievement in both scientific and industrial scale to save considerable computational cost on combined cooling, heating, and power system in accomplishment of boosting the energy efficiency and system maintenance

  3. A Sensitivity Analysis of ANN Pedotransfer Functions for spatial modeling of Soil Cation Exchange Capacity

    Directory of Open Access Journals (Sweden)

    A. KESHAVARZI

    2010-12-01

    Full Text Available The development of models simulating soil processes has increased rapidly in recent years. These models havebeen developed to improve the understanding of important soil processes and also to act as tools for evaluatingagricultural and environmental problems. In this research, an artificial neural network (ANN model was developed topredict of soil Cation Exchange Capacity (CEC which was called neural kriging (NK by easily measurablecharacteristics of clay and organic carbon. 134 soil samples were collected from different horizons of 34 soil profileslocated in the Ziaran region, Qazvin province, Iran. The data set was divided into two subsets for calibration (75% andtesting (25% of the model. In order to evaluate the model, root mean square error (RMSE and R2 were used. The valueof RMSE and R2 derived by ANN model were 0.04 and 0.97, respectively. The comparison of RMSE and R2 forvarious ANN models showed that the ANN model with three neurons in hidden layer gives better estimates of soilCEC. Sensitivity analysis was also conducted to investigate the effects of various explanatory parameters on the output.The results indicated that CEC variation was more sensitive to clay content than OC variable. For geostatisticalanalyzing, sampling was done with stratified random method and 34 soil samples from 0 to 15 cm depth were collectedwith auger within 34 locations. For comparing and evaluation of neural kriging and ordinary kriging methods, crossvalidation was used by statistical parameters of RMSE and correlation coefficient (r for test data set. The resultsshowed that neural kriging method has the higher correlation coefficient (0.96 and less RMSE (1.22 than ordinarykriging method in predicting and spatial mapping of soil CEC in unsampled areas.

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

    Science.gov (United States)

    Fakhri, Mansour

    2014-01-01

    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. PMID:24688400

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

    Science.gov (United States)

    Patel, Raj Kumar; Giri, V. K.

    2016-07-01

    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.

  6. Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

    International Nuclear Information System (INIS)

    We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (NWP). We particularly look at the multi-layer perceptron (MLP). After optimizing our architecture with NWP and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model MLP/ARMA is 14.9% compared to 26.2% for the naïve persistence predictor. Note that in the standalone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposed. -- Highlights: ► Time series forecasting with hybrid method based on the use of ALADIN numerical weather model, ANN and ARMA. ► Innovative pre-input layer selection method. ► Combination of optimized MLP and ARMA model obtained from a rule based on the analysis of hourly data series. ► Stationarity process (method and control) for the global radiation time series.

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

    International Nuclear Information System (INIS)

    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)

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

    Science.gov (United States)

    Chandrasekaran, Muthumari; Tamang, Santosh

    2016-06-01

    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.

  9. Multiple Regression (MR) and Artificial Neural Network (ANN) models for prediction of soil suction

    Science.gov (United States)

    Erzin, Yusuf; Yilmaz, Isik

    2010-05-01

    This article presents a comparison of multiple regression (MR) and artificial neural network (ANN) model for prediction of soil suction of clayey soils. The results of the soil suction tests utilizing thermocouple psychrometers on statically compacted specimens of Bentonite-Kaolinite clay mixtures with varying soil properties were used to develope the models. The results obtained from both models were then compared with the experimental results. The performance indices such as coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and variance account for (VAF) were used to control the performance of the prediction capacity of the models developed in this study. ANN model has shown higher prediction performance than regression model according to the performance indices. It is shown that ANN models provide significant improvements in prediction accuracy over statistical models. The potential benefits of soft computing models extend beyond the high computation rates. Higher performances of the soft computing models were sourced from greater degree of robustness and fault tolerance than traditional statistical models because there are many more processing neurons, each with primarily local connections. It appears that there is a possibility of estimating soil suction by using the proposed empirical relationships and soft computing models. The population of the analyzed data is relatively limited in this study. Therefore, the practical outcome of the proposed equations and models could be used, with acceptable accuracy.

  10. Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

    CERN Document Server

    Voyant, Cyril; Paoli, Christophe; Nivet, Marie Laure

    2012-01-01

    We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (ALADIN). We particularly look at the Multi-Layer Perceptron. After optimizing our architecture with ALADIN and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model ANN/ARMA is 14.9% compared to 26.2% for the na\\"ive persistence predictor. Note that in the stand alone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposed

  11. 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.

  12. Power Quality Improvement in Distribution System using ANN Based Shunt Active Power Filter

    Directory of Open Access Journals (Sweden)

    Somlal Jarupula

    2015-02-01

    Full Text Available This paper focuses on an Artificial Neural Network (ANN controller based Shunt Active Power Filter (SAPF for mitigating the harmonics of the distribution system. To increase the performance of the conventional controller and take advantage of smart controllers, a feed forward-type (trained by a back propagation algorithm ANN-based technique is implemented in shunt active power filters for producing the controlled pulses required for IGBT inverter. The proposed approach mainly work on the principle of capacitor energy to maintain the DC link voltage of a shunt connected filter and thus reduces the transient response time when there is abrupt variation in the load. The entire power system block set model of the proposed scheme has been developed in MATLAB environment. Simulations are carried out by using MATLAB, it is noticed that the %THD is reduced to 2.27% from 29.71% by ANN controlled filter. The simulated experimental results also show that the novel control method is not only easy to be computed and implemented, but also very successful in reducing harmonics.  

  13. 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)

  14. 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

  15. 'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier

    Directory of Open Access Journals (Sweden)

    Janet Floyd

    2009-11-01

    Full Text Available A review of 'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier (London: Palgrave Macmillan, 2008. Hardback, 259 pages, £50, ISBN 9780554269.

  16. ANN-based energy reconstruction procedure for TACTIC gamma-ray telescope and its comparison with other conventional methods

    CERN Document Server

    Dhar, V K; Koul, M K; Rannot, R C; Yadav, K K; Chandra, P; Dubey, B P; Koul, R; 10.1016/j.nima.2009.04.012

    2009-01-01

    The energy estimation procedures employed by different groups, for determining the energy of the primary $\\gamma$-ray using a single atmospheric Cherenkov imaging telescope, include methods like polynomial fitting in SIZE and DISTANCE, general least square fitting and look-up table based interpolation. A novel energy reconstruction procedure, based on the utilization of Artificial Neural Network (ANN), has been developed for the TACTIC atmospheric Cherenkov imaging telescope. The procedure uses a 3:30:1 ANN configuration with resilient backpropagation algorithm to estimate the energy of a $\\gamma$-ray like event on the basis of its image SIZE, DISTANCE and zenith angle. The new ANN-based energy reconstruction method, apart from yielding an energy resolution of $\\sim$ 26%, which is comparable to that of other single imaging telescopes, has the added advantage that it considers zenith angle dependence as well. Details of the ANN-based energy estimation procedure along with its comparative performance with other...

  17. 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

  18. 'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier

    OpenAIRE

    Janet Floyd

    2009-01-01

    A review of 'Transatlantic Print Culture, 1880-1940: Emerging Media, Emerging Modernisms', edited by Ann Ardis and Patrick Collier (London: Palgrave Macmillan, 2008). Hardback, 259 pages, £50, ISBN 9780554269.

  19. 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.

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

    OpenAIRE

    Julio Rojas Naccha; Víctor Vásquez Villalobos

    2012-01-01

    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, usin...

  1. Application of PC-ANN to Acidity Constant Prediction of Various Phenols and Benzoic Acids in Water

    Institute of Scientific and Technical Information of China (English)

    HABIBI-YANGJEH Aziz; ESMAILIAN Mahdi

    2008-01-01

    Principal component regression(PCR)and principal component-artificial neural network(PC-ANN)models were applied to prediction of the acidity constant for various benzoic acids and phenols(242 compounds)in water at 25℃.A large number of theoretical descriptors were calculated for each molecule.The first fifty principal components(PC)were found to explain more than 95% of variances in the original data matrix.From the pool of these PC's.the eigenvalue ranking method was employed to select the best set of PC for PCR and PC-ANN models.The PC-ANN model with architecture 47-20-1 was generated using 47 principal components as inputs and its output is pKa.For evaluation of the predictive power of the PeR and PC-ANN models,pKa values of 37 compounds in the prediction set were calculated.Mean percentage deviation (MPD)for PCR and PC-ANN models are 18.45 and 0.6448,respectively.These improvements are due to the fact that the PKa of the compounds demonstrate non-linear correlations with the principal components.Comparison of the results obtained by the models reveals superiority of the PC-ANN model relative to the PCR model.

  2. ANN-based energy reconstruction procedure for TACTIC {gamma}-ray telescope and its comparison with other conventional methods

    Energy Technology Data Exchange (ETDEWEB)

    Dhar, V.K. [Bhabha Atomic Research Centre, Astrophysical Sciences Division, Mumbai 400 085 (India)], E-mail: veer@barc.gov.in; Tickoo, A.K.; Koul, M.K.; Rannot, R.C.; Yadav, K.K.; Chandra, P. [Bhabha Atomic Research Centre, Astrophysical Sciences Division, Mumbai 400 085 (India); Dubey, B.P. [Bhabha Atomic Research Centre, Electronics and Instruments Services Division, Mumbai 400 085 (India); Koul, R. [Bhabha Atomic Research Centre, Astrophysical Sciences Division, Mumbai 400 085 (India)

    2009-07-21

    The energy estimation procedures employed by different groups, for determining the energy of the primary {gamma}-ray using a single atmospheric Cherenkov imaging telescope, include methods like polynomial fitting in SIZE and DISTANCE, general least square fitting and look-up table based interpolation. A novel energy reconstruction procedure, based on the utilization of Artificial Neural Network (ANN), has been developed for the TACTIC telescope. The procedure uses a 3:30:1 ANN configuration with resilient backpropagation algorithm to estimate the energy of a {gamma}-ray like event on the basis of its image SIZE, DISTANCE and zenith angle. The new ANN-based energy reconstruction method, apart from yielding an energy resolution of {approx}26%, which is comparable to that of other single imaging telescopes, has the added advantage that it considers zenith angle dependence as well. Details of the ANN-based energy estimation procedure along with its comparative performance with other conventional energy reconstruction methods are presented in the paper and the results indicate that amongst all the methods considered in this work, ANN method yields the best results. The performance of the ANN-based energy reconstruction has also been validated by determining the energy spectrum of the Crab Nebula in the energy range 1-16 TeV, as measured by the TACTIC telescope.

  3. Role of ANN in Secured Wireless Multicast Routing during Dynamic Channel Allocation for User Demanded Packet Optimality

    Directory of Open Access Journals (Sweden)

    Dr. B.S. Pradeep

    2011-09-01

    Full Text Available The application of Artificial Neural Network (ANNís to mobile Ad Hock Network for multicasting where the problem is to find an efficient route to transmit packets over many nodes in the network. For multicasting in MANETS which address the security and Quality of service (Q.O.S. issues on the utility database makes this area highly suitable for ANN implementation. ANN is able to learn the relationship among past, current, and future route discoveries of the different nodes in the mobility range. A wide variety of different ANN has been used for route discoveries in the few years resulting in a noticeable number of publications on the subject. This paper proposes effective and novel application of Artificial Neural Network to Secure Multicasting in MANETís with Supporting Nodes has gained a lot of attention for secure routing using an ANN model. The methodology considers selection of input Variables for the ANN, determination of the optimum number of neurons for the hidden Layer selection of Multicasting with supporting nodes routing function. The proposed ANN model uses the feed forward network using back propagation algorithms.

  4. FLOODPLAIN, BUTLER COUNTY, NEBRASKA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  5. Flooded area cartography and damage assessment from the combined use of Landsat TM and ANNs

    Science.gov (United States)

    Alouene, Yosra; Petropoulos, George P.

    2013-04-01

    Use of Earth Observation (EO) data has generally shown a very promising potential in performing rapidly and cost-effectively mapping as well as damage assessment in different types of natural hazards, including floods. The recent technological progress in remote sensing has resulted to the development of a vast number of image processing techniques applied to different types of EO data in performing flooded area mapping and damage assessment. When optical EO data is used for this purpose supervised image classification is regarded as one of the most widely exploited approaches employed for this purpose. In the present study we evaluated the use of different classifiers based on Artificial Neural Network (ANNs) in obtaining flooded area cartography and performing a damage assessment when those combined with optical multispectral data from Landsat TM. In this context, the inclusion of different spectral layers derived from the processing of the original TM bands for improving the estimation of the flooded area was explored. A flooding event occurred in 2010 in Evros river - located north of Greece - was used as a case study. Accuracy of ANN-derived flooded area estimates was based on the error matrix statistics but also statistical comparisons performed against corresponding estimates obtained from the Greek local authorities. Damage assessment was performed on the basis of land use/cover information derived from CORINE2000. Results generally evidenced the capability of the ANNs in obtaining cartography of the flooded area and in performing a flooding damage assessment when combined with the TM imagery. The inclusion of the additional spectral information showed variable results in terms of improving the accuracy of the flooded area extraction. From all scenarios examined, most accurate results in terms of flooded area mapping were obtained when the original TM spectral bands were combined with the Tasseled Cap additional bands. Keywords: flooded area mapping

  6. 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.

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

    International Nuclear Information System (INIS)

    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

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

    OpenAIRE

    Jie Zhou

    2015-01-01

    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 read...

  9. El juego de la parodia en la escritura de Anne F. Garréta

    Directory of Open Access Journals (Sweden)

    Montserrat Cots Vicente

    2013-04-01

    Full Text Available The objective of this article is to study the dimension of parody in the work of Anne Garréta in light of the theories of Authier-Revuz regarding the essential het-erogeneity of discourse. We show how Garréta’s parody makes allusion to other sources without specifying them and systematically effaces borders between her own discourse and that of others. We argue that through this personal (intertextual montage Garréta unveils a social, literary and linguistic critique to the informed reader.

  10. ANN modeling for flood prediction in the upstream Eure's catchment (France)

    Science.gov (United States)

    Kharroubi, Ouissem; masson, Eric; Blanpain, Olivier; Lallahem, Sami

    2013-04-01

    Rainfall-Runoff relationship at basin scale is strongly depending on the catchment complexity including multi-scale interactions. In extreme events cases (i.e. floods and droughts) this relationship is even more complex and differs from average hydrological conditions making extreme runoff prediction very difficult to achieve. However, flood warning, flood prevention and flood mitigation rely on the possibility to predict both flood peak runoff and lag time. This point is crucial for decision making and flood warning to prevent populations and economical stakes to be damaged by extreme hydrological events. Since 2003 in France, a dedicated state service is in charge of producing flood warning from national level (i.e. SCHAPI) to regional level (i.e. SPC). This flood warning service is combining national weather forecast agency (i.e. Meteo France) together with a fully automated realtime hydrological network (i.e. Rainfall-Runoff) in order to produce a flood warning national map online and provide a set of hydro-meteorological data to the SPC in charge of flood prediction from regional to local scale. The SPC is in fact the flood service delivering hydrological prediction at operational level for decision making about flood alert for municipalities and first help services. Our research in collaboration with the SPC SACN (i.e. "Seine Aval et fleuves Côtiers Normands") is focused on the implementation of an Artificial Neural Network model (ANN) for flood prediction in deferent key points of the Eure's catchment and main subcatchment. Our contribution will focus on the ANN model developed for Saint-Luperce gauging station in the upstream part of the Eure's catchment. Prediction of extreme runoff at Saint-Luperce station is of high importance for flood warning in the Eure's catchment because it gives a good indicator on the extreme status and the downstream propagation of a potential flood event. Despite a good runoff monitoring since 27 years Saint Luperce flood

  11. 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 ...

  12. The Calculation Model for Operation Cost of Coal Resources Development Based on ANN

    Institute of Scientific and Technical Information of China (English)

    刘海滨

    2004-01-01

    On the basis of analysis and selection of factors influencing operation cost of coal resources development, fuzzy set method and artificial neural network (ANN) were adopted to set up the classification analysis model of coal resources. The collected samples were classified by using this model. Meanwhile, the pattern recognition model for classifying of the coal resources was built according to the factors influencing operation cost. Based on the results achieved above, in the light of the theory of information diffusion, the calculation model for operation cost of coal resources development has been presented and applied in practice, showing that these models are reasonable.

  13. Performance of ANN using Back Propagation Algorithm for Medical Diagnosis System

    Directory of Open Access Journals (Sweden)

    Arti Gupta

    2012-03-01

    Full Text Available Now a day’s application of ANN techniques provide a powerful tool to help doctors to analyze, complex clinical data across a broad range of medical application. Most applications of artificial neural networks to medicine are classification problems; that is, the task is on the basis of the measured features to assign the patient to one of a small set of classes. Neural Networks are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the disease. The system is trained by employing an improved BP algorithm for detecting the relevant features of the clinical data.

  14. 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.

  15. Observation on the efficacy of Adalat in combined with Ann Bono in the treatment of moderate and severe hypertension

    Institute of Scientific and Technical Information of China (English)

    Yong-Qiang Yu; Jing-Lian Liu

    2016-01-01

    Objective:To observe the effectiveness and safety of Adalat in combined with Ann Bono in the treatment of moderate and severe hypertension.Methods:A total of 120 patients with moderate and severe hypertension were included in the study and divided into group A (Adalat in combined with Ann Bono group), group B (Adalat group), and group C (Ann Bono group). The efficacy was evaluated through the blood pressure and clinical symptoms. The safety was estimated through the adverse reactions. Adalat (nifedipine controlled released tablets, 30 mg), and Ann Bono (irbesartan and hydrochlorothiazide tablets, 150 mg/12.5 mg) were adopted in the study.Results: After medication, the blood pressure in the three groups was significantly improved when compared with before medication, the blood pressure controlling was more steady and the blood pressure reducing effect was more rapidly in group A when compared with group B and group C. The comparison of serum K, GLU, TC, and TG before and after treatment between the two groups was not statistically significant. The serum Cr and UA levels after treatment in group A were significantly lower than those in group B and group C. Conclusions:Adalat in combined with Ann Bono in the treatment of moderate and severe hypertension has an accurate efficacy; therefore, it deserves to be widely recommended in the clinic.

  16. Explosion with a slow-burning fuse: origins of holography in Ann Arbor, Michigan

    Science.gov (United States)

    Johnston, Sean F.

    2006-05-01

    The subject today known as holography emerged from research in three diverse locations and having distinct origins, aims and methods: at a commercial electrical laboratory in Rugby, England, from the late 1940s until the mid 1950s; at the Vavilov State Optical Institute in Leningrad from the late 1950s and again from the mid 1960s; and, from a classified research laboratory operated by the University of Michigan beginning in the mid 1950s and accelerating from the early 1960s. The scientists, engineers, artisans, entrepreneurs and companies in that third location dominated the subject through the 1960s, making Ann Arbor, for a time, the 'holography capital of the world'. Based on extensive unpublished documents, artifacts and interviews with some two-dozen participants (much of it as yet unavailable in publicly accessible archives), this paper focuses on the origins of the subject in Ann Arbor, Michigan. It also explores how the initial explosion of interest was transmitted to other research groups, firms, artists and the wider public.

  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. Dynamically stable associative learning: a neurobiologically based ANN and its applications

    Science.gov (United States)

    Vogl, Thomas P.; Blackwell, Kim L.; Barbour, Garth; Alkon, Daniel L.

    1992-07-01

    Most currently popular artificial neural networks (ANN) are based on conceptions of neuronal properties that date back to the 1940s and 50s, i.e., to the ideas of McCullough, Pitts, and Hebb. Dystal is an ANN based on current knowledge of neurobiology at the cellular and subcellular level. Networks based on these neurobiological insights exhibit the following advantageous properties: (1) A theoretical storage capacity of bN non-orthogonal memories, where N is the number of output neurons sharing common inputs and b is the number of distinguishable (gray shade) levels. (2) The ability to learn, store, and recall associations among noisy, arbitrary patterns. (3) A local synaptic learning rule (learning depends neither on the output of the post-synaptic neuron nor on a global error term), some of whose consequences are: (4) Feed-forward, lateral, and feed-back connections (as well as time-sensitive connections) are possible without alteration of the learning algorithm; (5) Storage allocation (patch creation) proceeds dynamically as associations are learned (self- organizing); (6) The number of training set presentations required for learning is small (< 10) and does not change with pattern size or content; and (7) The network exhibits monotonic convergence, reaching equilibrium (fully trained) values without oscillating. The performance of Dystal on pattern completion tasks such as faces with different expressions and/or corrupted by noise, and on reading hand-written digits (98% accuracy) and hand-printed Japanese Kanji (90% accuracy) is demonstrated.

  19. Controlling the Twin Wire Arc Spray Process Using Artificial Neural Networks (ANN)

    Science.gov (United States)

    Hartz-Behrend, K.; Schaup, J.; Zierhut, J.; Schein, J.

    2016-01-01

    One approach for controlling the twin wire arc spray process is to use optical properties of the particle beam as input parameters for a process control. The idea is that changes in the process like eroded contact nozzles or variations of current, voltage, and/or atomizing gas pressure may be detected through observation of the particle beam. It can be assumed that if these properties deviate significantly from those obtained from a beam recorded for an optimal coating process, the spray particle and thus the coating properties change significantly. The goal is to detect these deviations and compensate the occurring errors by adjusting appropriate process parameters for the wire arc spray unit. One method for monitoring optical properties is to apply the diagnostic system particle flux imaging (PFI): PFI fits an ellipse to an image of a particle beam thereby defining easy to analyze characteristical parameters by relating optical beam properties to ellipse parameters. Using artificial neural networks (ANN), mathematical relations between ellipse and process parameters can be defined. It will be shown that in the case of a process disturbance through the use of an ANN-based control new process parameters can be computed to compensate particle beam deviations.

  20. ANN-GA hybrid methodology based optimization study for microbial production of CoQ10

    Directory of Open Access Journals (Sweden)

    Shruti Bajpai

    2015-01-01

    Full Text Available Ubiquinone-10 also known as CoQ10 is a potent antioxidant which is found at membrane-bound electron transport system and has a wide range of therapeutic use. Purpose: The purpose of this study was to implement fermentation process optimization for production of CoQ10 by using Pseudomonas diminuta NCIM 2865. Methods: Significant medium components with respect to CoQ10 production were identified using Plackett- Burman design wherein their interaction was studied using response surface methodology (RSM. CoQ10 production increased considerably from 10.8 to 18.57 mg/l when fermentation was carried out in RSM optimised medium. Further, production of CoQ10 was increased by using the predictive results of ANN-GA (artificial neural network and genetic algorithm hybrid method. Results and Conclusions: This increased the yield of CoQ10 18.57 to 27.9 mg/l. The experimental study using ANN-GA based optimized medium condition in the presence of carrot juice as precursor for the CoQ10 production reported as yield of 34.4 mg/l, quite high compared to the earlier studies.

  1. 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...

  2. ANN Controlled VSC with Harmonic Reduction for VAR Control of Transmission Line

    Directory of Open Access Journals (Sweden)

    Ram Shankarrao Dhekekar

    2012-01-01

    Full Text Available Complete close-loop smooth control of reactive power can be achieved using shunt connected FACTS devices. STATCOM is one of the shunt connected FACTS device which can be utilized for the purpose of reactive power compensation. Intelligent FACTS devices make them adaptable and hence it is emerging in the present state of art. This paper presents close loop control techniques based on artificial neural networks (ANNs to control reactive power generated by long transmission line over wide range so as to maintain constant voltage profile at the receiving end. With ANN technique and H-bridge multilevel VSC topology harmonics are eliminated to accepted level. A 9-Level H-Bridge VSC based STATCOM is used to handle the reactive power of the line .The close loop control is achieved by PI and neural network. . This paper is about real time simulation and implementation of PI controlled VSC STATCOM for 750km lab model of artificial transmission line. PI controller and neural network control schemes implemented and investigated. With Matlab simulation and actual testing proves that these devices when installed, they keep the bus voltage same as reference voltage (sending-end voltage. The results are prominent and give a way for real-time implementation of the proposed control schemes. These control schemes are simulated for the real-time control along with real-time modeling and simulations. Relative Harmonic analysis, for both the schemes are discussed. The results are prominent and give a way for real-time implementation

  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. USING ARTIFICIAL NEURAL NETWORKS (ANNs FOR SEDIMENT LOAD FORECASTING OF TALKHEROOD RIVER MOUTH

    Directory of Open Access Journals (Sweden)

    Vahid Nourani

    2009-06-01

    Full Text Available Without a doubt the carried sediment load by a river is the most important factor in creating and formation of the related Delta in the river mouth. Therefore, accurate forecasting of the river sediment load can play a significant role for study on the river Delta. However considering the complexity and non-linearity of the phenomenon, the classic experimental or physical-based approaches usually could not handle the problem so well. In this paper, Artificial Neural Network (ANN as a non-linear black box interpolator tool is used for modeling suspended sediment load which discharges to the Talkherood river mouth, located in northern west Iran. For this purpose, observed time series of water discharge at current and previous time steps are used as the model input neurons and the model output neuron will be the forecasted sediment load at the current time step. In this way, various schemes of the ANN approach are examined in order to achieve the best network as well as the best architecture of the model. The obtained results are also compared with the results of two other classic methods (i.e., linear regression and rating curve methods in order to approve the efficiency and ability of the proposed method.

  5. USING ARTIFICIAL NEURAL NETWORKS (ANNs FOR SEDIMENT LOAD FORECASTING OF TALKHEROOD RIVER MOUTH

    Directory of Open Access Journals (Sweden)

    Vahid Nourani

    2009-01-01

    Full Text Available Without a doubt the carried sediment load by a river is the most important factor in creating and formation of the related Delta in the river mouth. Therefore, accurate forecasting of the river sediment load can play a significant role for study on the river Delta. However considering the complexity and non-linearity of the phenomenon, the classic experimental or physical-based approaches usually could not handle the problem so well. In this paper, Artificial Neural Network (ANN as a non-linear black box interpolator tool is used for modeling suspended sediment load which discharges to the Talkherood river mouth, located in northern west Iran. For this purpose, observed time series of water discharge at current and previous time steps are used as the model input neurons and the model output neuron will be the forecasted sediment load at the current time step. In this way, various schemes of the ANN approach are examined in order to achieve the best network as well as the best architecture of the model. The obtained results are also compared with the results of two other classic methods (i.e., linear regression and rating curve methods in order to approve the efficiency and ability of the proposed method.

  6. 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.

  7. Application of PC-ANN and PC-LS-SVM in QSAR of CCR1 antagonist compounds: a comparative study.

    Science.gov (United States)

    Shahlaei, Mohsen; Fassihi, Afshin; Saghaie, Lotfollah

    2010-04-01

    Principal component regression (PCR), principal component-artificial neural network (PC-ANN), and principal component-least squares-support vector machine (PC-LS-SVM) as regression methods were investigated for building quantitative structure-activity relationships for the prediction of inhibitory activity of some CCR1 antagonists. Nonlinear methods (PC-ANN and PC-LS-SVM) were better than the PCR method considerably in the goodness of fit and predictivity parameters and other criteria for evaluation of the proposed model. These results reflect a nonlinear relationship between the principal components obtained from molecular descriptors and the inhibitory activity of this set of molecules. The maximum variance in activity of the molecules, in PCR method was 45.5%, whereas nonlinear methods, PC-ANN and PC-LS-SVM, could explain more than 93.7% and 95.6% variance in activity data respectively.

  8. Quantitative Structure-retention Relationship Analysis of Nanoparticle Compounds by GA-PLS,GA-KPLS and L-M ANN

    Institute of Scientific and Technical Information of China (English)

    Hadi Noorizadeh; Abbas Farmany; Mehrab Noorizadeh

    2012-01-01

    Genetic algorithm and partial least square(GA-PLS),kernel PLS(KPLS) and Levenberg-Marquardt artificial neural network(L-M ANN) techniques were used to investigate the correlation between retention time(RT) and descriptors for 15 nanoparticle compounds obtained by the comprehensive two-dimensional gas chromatography system(GC × GC).Application of the dodecanethiol monolayer-protected gold nanoparticle(MPN) column was for a high-speed separation as the second column of GC × GC.The L-M ANN model with the final optimum network architecture of [13-5-1] gave a significantly better performance than the other models.This is the first research on the quantitative structure-retention relationship(QSRR) of nanoparticle compounds using the GA-PLS,GA-KPLS and L-M ANN.

  9. Prediction of the Hot Compressive Deformation Behavior for Superalloy Nimonic 80A by BP-ANN Model

    Directory of Open Access Journals (Sweden)

    Guo-zheng Quan

    2016-02-01

    Full Text Available In order to predict hot deformation behavior of superalloy nimonic 80A, a back-propagational artificial neural network (BP-ANN and strain-dependent Arrhenius-type model were established based on the experimental data from isothermal compression tests on a Gleeble-3500 thermo-mechanical simulator at temperatures ranging of 1050–1250 °C, strain rates ranging of 0.01–10.0 s−1. A comparison on a BP-ANN model and modified Arrhenius-type constitutive equation has been implemented in terms of statistical parameters, involving mean value of relative (μ, standard deviation (w, correlation coefficient (R and average absolute relative error (AARE. The μ -value and w -value of the improved Arrhenius-type model are 3.0012% and 2.0533%, respectively, while their values of the BP-ANN model are 0.0714% and 0.2564%, respectively. Meanwhile, the R-value and ARRE-value for the improved Arrhenius-type model are 0.9899 and 3.06%, while their values for the BP-ANN model are 0.9998 and 1.20%. The results indicate that the BP-ANN model can accurately track the experimental data and show a good generalization capability to predict complex flow behavior. Then, a 3D continuous interaction space for temperature, strain rate, strain and stress was constructed based on the expanded data predicted by a well-trained BP-ANN model. The developed 3D continuous space for hot working parameters articulates the intrinsic relationships of superalloy nimonic 80A.

  10. ZİHİNSEL ENGELLİ ÇOCUĞA SAHIP ANNE-BABALAR ILE NORMAL GELIŞIM ÖZELLIKLERI GÖSTEREN ÇOCUĞA SAHIP ANNE BABALARIN KABUL RED DÜZEYLERININ KARŞILAŞTIRILMASI

    OpenAIRE

    Gülay, Hülya

    2010-01-01

    Araştırmanın amacı, zihinsel engelli çocuğa sahip anne babalar ile normal gelişim özellikleri gösteren çocuğa sahip anne babaların kabul-red düzeylerinin karşılaştırılmasıdır. Araştırmanın örneklemini, İstanbul'da özel eğitim kurumlarına devam eden, zihinsel engelli 80 çocuğun anne-babası ile ilköğretime devam eden, normal gelişim özellikleri gösteren 80 çocuğun anne babası oluşturmaktadır. Veri toplama araçları olarak kişisel bilgi formu, Ebeveyn Kabul Red Ölçeği kullanılmıştır. Bulgular ben...

  11. Monica Manolescu et Anne-Marie Paquet-Deyris. Lolita, cartographies de l’obsession

    Directory of Open Access Journals (Sweden)

    René ALLADAYE

    2011-03-01

    Full Text Available Près de quinze ans après le travail de Maurice Couturier, c’était un défi que de publier un nouveau cours du CNED consacré à Lolita à l’occasion de la réapparition du roman au programme de l’agrégation. Certes, la donne a un peu changé depuis 1995 puisque ce programme s’enrichit de la présence de l’adaptation cinématographique de Stanley Kubrick, mais l’aventure n’en demeurait pas moins risquée. Ce défi, Monica Manolescu et Anne-Marie Paquet-Deyris le relèvent avec brio dans Lolita, cartograp...

  12. Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition

    Directory of Open Access Journals (Sweden)

    Sandhya Arora

    2010-05-01

    Full Text Available Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recognition accuracies. This class of methods includes statistical methods, artificial neural networks, support vector machines (SVM, multiple classifier combination, etc. In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten Devnagari characters. After preprocessing the character image, we extracted shadow features, chain code histogram features, view based features and longest run features. These features are then fed to Neural classifier and in support vector machine for classification. In neural classifier, we explored three ways of combining decisions of four MLP's, designed for four different features.

  13. Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Malik, L; Kundu, M; Basu, D K

    2010-01-01

    Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recognition accuracies. This class of methods includes statistical methods, artificial neural networks, support vector machines (SVM), multiple classifier combination, etc. In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten Devnagari characters. After preprocessing the character image, we extracted shadow features, chain code histogram features, view based features and longest run features. These features are then fed to Neural classifier and in support vector machine for classification. In neural classifier, we explored three ways of combining decisions of four MLP's designed for four different features.

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

    International Nuclear Information System (INIS)

    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.

  15. [A heroine for the Resistance: Anne-Mary, Jeanne Menut at Riom (1914-1944)].

    Science.gov (United States)

    Guyotjeannin, C

    1997-01-01

    Anne-Mary Lafaye was born on may 16th 1914 just before world war I. Her parents were teachers and helped her to go up one step of the social scale; in 1939 she became a pharmacist. Quite an ordinary life, but another world war came. She married Max Menut, early resistant worker, and she was more and more involved, providing the maquis with bandages and medicines. She had made the choice of her values, and time of abnegation came. She had to hide her identity under the name of Marinette. She sold her pharmacy in Riom, she entrusted her daughter to her mother's care, and she had to take care of wounded fighters. Rapidly she was denounced, arrested, tortured and savagely executed.

  16. Aluminum-zinc alloy squeeze casting technological parameters optimization based on PSO and ANN

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This paper presents a kind of ZA27 squeeze casting process parameter optimization method using artificial neural network (ANN) combined with the particle swarm optimizer (PSO). Regarding the test data as samples and using neural network create ZA27 squeeze casting process parameters and mechanical properties of nonlinear mapping model. Using PSO optimize the model and obtain the optimum value of the process parameters. Make full use of the non-neural network mapping capabilities and PSO global optimization capability. The network uses the radial direction primary function neural network, using the clustering and gradient method to make use of network learning, in order to enhance the generalization ability of the network. PSO takes dynamic changing inertia weights to accelerate the convergence speed and avoid a local minimum.

  17. Establishment of Relationships between Material Design and Product Design Domains by Hybrid FEM-ANN Technique

    CERN Document Server

    Prakash, K Soorya; Raj, M Joseph Malvin

    2010-01-01

    In this paper, research on AI based modeling technique to optimize development of new alloys with necessitated improvements in properties and chemical mixture over existing alloys as per functional requirements of product is done. The current research work novels AI in lieu of predictions to establish association between material and product customary. Advanced computational simulation techniques like CFD, FEA interrogations are made viable to authenticate product dynamics in context to experimental investigations. Accordingly, the current research is focused towards binding relationships between material design and product design domains. The input to feed forward back propagation prediction network model constitutes of material design features. Parameters relevant to product design strategies are furnished as target outputs. The outcomes of ANN shows good sign of correlation between material and product design domains. The study enriches a new path to illustrate material factors at the time of new product d...

  18. Queer paradox/paradoxical queer: Anne Garréta's Pas un jour (2002).

    Science.gov (United States)

    Cairns, Lucille

    2007-01-01

    This paper shows how Anne Garréta's Pas un jour (2002) is a decidedly queer text, in both the new and the old sense of that contested epithet. I examine three interrelated concerns central to Pas un jour. First, I analyze Garréta's mediation of desire in general: her own experiences of it; modalities thereof which subvert more 'normative' models of lesbianism; and her convergences with other gay, but male writers and theorists of desire such as Guy Hocquenghem, Gilles Deleuze and Michel Foucault. Second, I interrogate Garréta's dichotomy between desire and friendship, and adumbrate contrasts with Foucauldian theory. Finally, I scrutinize the meaning and value attributed to the particular body of desire with which Garréta is most commonly associated-homosexuality- and their links with those of a contemporary gay male writer, Dominique Fernandez. PMID:17804371

  19. Results of the radiological survey at 14 Saint Ann Place, Rochelle Park, New Jersey (MJ032)

    International Nuclear Information System (INIS)

    Maywood Chemical Works (MCW) of Maywood, New Jersey, generated process wastes and residues associated with the production and refining of thorium and thorium compounds from monazite ores from 1916 to 1956. At the request of the US Department of Energy (DOE), a group from Oak Ridge National Laboratory conducts investigative radiological surveys of properties in the vicinity of MCW to determine whether a property is contaminated with radioactive residues, principally 232Th, derived from the MCW site. The survey typically includes direct measurement of gamma radiation levels and soil sampling for radionuclide analyses. The survey of this site, 14 Saint Ann Place, Rochelle Park, New Jersey (MJ032), was conducted during 1987. 4 refs., 3 tabs

  20. Processing/formulation parameters determining dispersity of chitosan particles: an ANNs study.

    Science.gov (United States)

    Esmaeilzadeh-Gharehdaghi, Elina; Faramarzi, Mohammad Ali; Amini, Mohammad Ali; Moazeni, Esmaeil; Amani, Amir

    2014-01-01

    Although a great number of studies may be found in literature about the parameters affecting the size of chitosan nanoparticles, no systematic work so far has detailed the factors affecting the polydispersity of chitosan as an important factor determining the quality of many preparations. Herein, using artificial neural networks (ANNs), four independent variables, namely, pH and concentration of chitosan solution as well as time and amplitude of sonication of the solution were studied to determine their influence on the polydispersity of solution. We found that in an ultrasound prepared nanodispersion of chitosan, all the four input parameters have reverse but non-linear relation with the polydispersity of the nanoparticles. PMID:23795904

  1. Anne Jorro, Évaluation et développement professionnel

    OpenAIRE

    Bois, Michel

    2011-01-01

    Dans son développement liminaire intitulé « L’évaluation génératrice de développement professionnel ? », Anne Jorro propose un véritable plaidoyer en faveur de l’évaluation comme instrument de la professionnalisation des enseignants. Il en va également de l’inscription du travail de formation des enseignants dans son époque, car la méfiance de la société vis-à-vis de l’évaluation est en train de s’estomper. L’angle sous lequel la question est abordée paraît frappé au coin du bon sens : pourqu...

  2. External Defect classification of Citrus Fruit Images using Linear Discriminant Analysis Clustering and ANN classifiers

    Directory of Open Access Journals (Sweden)

    K.Vijayarekha

    2012-12-01

    Full Text Available Linear Discriminant Analysis (LDA is one technique for transforming raw data into a new feature space in which classification can be carried out more robustly. It is useful where the within-class frequencies are unequal. This method maximizes the ratio of between-class variance to the within-class variance in any particular data set and the maximal separability is guaranteed. LDA clustering models are used to classify object into different category. This study makes use of LDA for clustering the features obtained for the citrus fruit images taken in five different domains. Sub-windows of size 40x40 are cropped from the citrus fruit images having defects such as pitting, splitting and stem end rot. Features are extracted in four domains such as statistical features, fourier transform based features, discrete wavelet transform based features and stationary wavelet transform based features. The results of clustering and classification using LDA and ANN classifiers are reported

  3. Boiler combustion optimization based on ANN and PSO-Powell algorithm

    Institute of Scientific and Technical Information of China (English)

    DAI Wei-bao; ZOU Ping-hua; FENG Ming-hua; DONG Zhan-shuang

    2009-01-01

    To improve the thermal efficiency and reduce nitrogen oxides (NOx) emissions in a power plant for energy conservation and environment protection, based on the reconstructed section temperature field and other related parameters, dynamic radial basis function (RBF) artificial neural network (ANN) models for forecasting unburned carbon in fly ash and NOx emissions in flue gas ware developed in this paper, together with a multi-objective optimization system utilizing particle swarm optimization and Powell (PSO-Powell) algorithm.To validate the proposed approach, a series of field tests were conducted in a 350 MW power plant. The results indicate that PSO-Powell algorithm can improve the capability to search optimization solution of PSO algorithm,and the effectiveness of system. Its prospective application in the optimization of a pulverized coal (PC) fired boiler is presented as well.

  4. Anne Vallely, Guardians of the Transcendant. An Ethnography of a Jain Ascetic Community

    OpenAIRE

    Padoux, André

    2006-01-01

    Anne Vallely, qui est canadienne, a partagé de décembre 1995 à janvier 1997 la vie d'une communauté de renonçantes jaïna de la secte « réformée » des Therapanthis, à Ladnun, une petite ville du Rajasthan, un des États de l'Inde. Particulièrement intéressée par la religion jaïna et la non-violence, puis s'orientant vers les « gender studies », c'est le problème posé par l'ascétisme féminin au sein d'une religion reposant sur l'autorité masculine, mais où les femmes jouent un rôle fondamental d...

  5. An ANN Based Call Handoff Management Scheme for Mobile Cellular Network

    Directory of Open Access Journals (Sweden)

    P. P. Bhattacharya

    2013-12-01

    Full Text Available Handoff decisions are usually signal strength based because of simplicity and effectiveness. Apart fro m the conventional techniques, such as threshold and hyst eresis based schemes, recently many artificial intelligent techniques such as Fuzzy Logic, Artific ial Neural Network (ANN etc. are also used for tak ing handoff decision. In this paper, an Artificial Neur al Network based handoff algorithm is proposed and it’s performance is studied. We have used ANNhere for ta king fast and accurate handoff decision. In our proposed handoff algorithm, Backpropagation Neural Network model is used.The advantages of Backpropagation method are its simplicity and reaso nable speed. The algorithm is designed, tested and found to give optimum results.

  6. 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.

  7. Hybrid-Logical Reasoning in the Smarties and Sally-Anne Tasks

    DEFF Research Database (Denmark)

    Braüner, Torben

    2014-01-01

    The main aim of the present paper is to use a proof system for hybrid modal logic to formalize what are called false-belief tasks in cognitive psychology, thereby investigating the interplay between cognition and logical reasoning about belief. We consider two different versions of the Smarties...... task, involving respectively a shift of perspective to another person and to another time. Our formalizations disclose that despite this difference, the two versions of the Smarties task have exactly the same underlying logical structure. We also consider the Sally-Anne task, having a more complicated...... logical structure, presupposing a “principle of inertia” saying that a belief is preserved over time, unless there is belief to the contrary....

  8. Des religieuses féministes dans les années 68 ?

    OpenAIRE

    Favier, Anthony

    2009-01-01

    Cet article cherche à réfléchir sur la chronologie et les formes d’un féminisme en religion à travers le parcours de deux religieuses, sœur Jeanne d’Arc et sœur Françoise Vandermeersch, qui ont occupé des responsabilités éditoriales importantes dans les années soixante-huit en France. Il essaie de voir comment le Concile Vatican II (1959-1965) a permis l’émergence chez les deux femmes l’éclosion d’un féminisme avant sa progressive mise en sourdine dans le contexte de la crise catholique qui t...

  9. 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.

  10. Evaluation of a non-point source pollution model, AnnAGNPS, in a tropical watershed

    Science.gov (United States)

    Polyakov, V.; Fares, A.; Kubo, D.; Jacobi, J.; Smith, C.

    2007-01-01

    Impaired water quality caused by human activity and the spread of invasive plant and animal species has been identified as a major factor of degradation of coastal ecosystems in the tropics. The main goal of this study was to evaluate the performance of AnnAGNPS (Annualized Non-Point Source Pollution Model), in simulating runoff and soil erosion in a 48 km2 watershed located on the Island of Kauai, Hawaii. The model was calibrated and validated using 2 years of observed stream flow and sediment load data. Alternative scenarios of spatial rainfall distribution and canopy interception were evaluated. Monthly runoff volumes predicted by AnnAGNPS compared well with the measured data (R2 = 0.90, P < 0.05); however, up to 60% difference between the actual and simulated runoff were observed during the driest months (May and July). Prediction of daily runoff was less accurate (R2 = 0.55, P < 0.05). Predicted and observed sediment yield on a daily basis was poorly correlated (R2 = 0.5, P < 0.05). For the events of small magnitude, the model generally overestimated sediment yield, while the opposite was true for larger events. Total monthly sediment yield varied within 50% of the observed values, except for May 2004. Among the input parameters the model was most sensitive to the values of ground residue cover and canopy cover. It was found that approximately one third of the watershed area had low sediment yield (0-1 t ha-1 y-1), and presented limited erosion threat. However, 5% of the area had sediment yields in excess of 5 t ha-1 y-1. Overall, the model performed reasonably well, and it can be used as a management tool on tropical watersheds to estimate and compare sediment loads, and identify "hot spots" on the landscape. ?? 2007 Elsevier Ltd. All rights reserved.

  11. Application of artificial neural network (ANN in Biosorption modeling of Chromium (VI from aqueous solutions

    Directory of Open Access Journals (Sweden)

    F Mohammadi

    2016-03-01

    Full Text Available Background and Objectives: In this work, biosorption of hexavalent chromium from aqueous solution with excess municipal sludge was studied. Moreover, the performance of neural networks to predict the biosorption rate was investigated. Materials and Methods: The effect of operational parameters including initial metal concentration, initial pH, agitation speed, adsorbent dosage, and agitation time on the biosorption of chromium was assessed in a batch system. A part of the experimental results was modeled using Feed-Forward Back propagation Neural Network (FFBP-ANN. Another part of the test results was simulated to assess the model accuracy. Transfer function in the hidden layers and output layers and the number of neurons in the hidden layers were optimized. Results: The maximum removal of chromium obtained from batch studies was more than 96% in 90 mg/L initial concentration, pH 2, agitation speed 200 rpm and adsorbent dosage 4 g/L. Maximum biosorption capacity was 41.69 mg/g. Biosorption data of Cr(VI are described well by Freundlich isotherm model and adsorption kinetic followed pseudo-second order model.  Tangent sigmoid function determined was the most appropriate transfer function in the hidden and output layer. The optimal number of neurons in hidden layers was 13. Predictions of model showed excellent correlation (R=0.984 with the target vector. Simulations performed by the developed neural network model showed good agreement with experimental results. Conclusion: Overall, it can be concluded that excess municipal sludge performs well for the removal of Cr ions from aqueous solution as a biological and low cost biosorbent. FFBP-ANN is an appropriate technique for modeling, estimating, and prediction of biosorption process If the Levenberg-Marquardt training function, tangent sigmoid transfer function in the hidden and output layers and the number of neurons is between 1.6 to 1.8 times the input data, proper predication results could be

  12. Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method

    Directory of Open Access Journals (Sweden)

    Miloš Madić

    2015-01-01

    Full Text Available In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To this aim, a single hidden layer artificial neural network (ANN trained with gradient descent with momentum algorithm was used. To obtain an experimental database for the ANN training, laser cutting experiment was planned as per Taguchi’s L27 orthogonal array with three levels for each of the cutting parameters. Statistically assessed as adequate, ANN model was then used to investigate the effect of the laser cutting parameters on the kerf taper angle by generating 2D and 3D plots. It was observed that the kerf taper angle was highly sensitive to the selected laser cutting parameters, as well as their interactions. In addition to modeling, by applying the Monte Carlo method on the developed kerf taper angle ANN model, the near optimal laser cutting parameter settings, which minimize kerf taper angle, were determined.

  13. 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

  14. 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.

  15. 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"

  16. 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

  17. 76 FR 44947 - Notice of Intent To Repatriate Cultural Items: University of Michigan Museum of Anthropology, Ann...

    Science.gov (United States)

    2011-07-27

    ... Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan Museum of Anthropology, in consultation with the appropriate Indian tribe, has determined that the... Anthropology. DATES: Representatives of any Indian tribe that believes it has a cultural affiliation with...

  18. Estimating Water Retention with Pedotransfer Functions Using Multi-Objective Group Method of Data Handling and ANNs*1ABSTRACT

    Institute of Scientific and Technical Information of China (English)

    H.BAYAT; M.R.NEYSHABOURI; K.MOHAMMADI; N.NARIMAN-ZADEH

    2011-01-01

    Pedotransfer functions (PTFs) have been developed to estimate soil water retention curves (SWRC) by various techniques. In this study PTFs were developed to estimate the parameters (θs, θr, α and λ) of the Brooks and Corey model from a data set of 148 samples. Particle and aggregate size distribution fractal parameters (PSDFPs and ASDFPs, respectively) were computed from three fractal models for either particle or aggregate size distribution. The most effective model in each group was determined by sensitivity analysis. Along with the other variables, the selected fractal parameters were employed to estimate SWRC using multi-objective group method of data handling (mGMDH) and different topologies of artificial neural networks (ANNs). The architecture of ANNs for parametric PTFs was different regarding the type of ANN, output layer transfer functions and the number of hidden neurons. Each parameter was estimated using four PTFs by the hierarchical entering of input variables in the PTFs. The inclusion of PSDFPs in the list of inputs improved the accuracy and reliability of parametric PTFs with the exception of θs. The textural fraction variables in PTF1 for the estimation of α were replaced with PSDFPs in PTF3. The use of ASDFPs as inputs significantly improved α estimates in the model. This result highlights the importance of ASDFPs in developing parametric PTFs. The mGMDH technique performed significantly better than ANNs in most PTFs.

  19. Bodies in Space/Bodies in Motion/Bodies in Character: Adolescents Bear Witness to Anne Frank

    Science.gov (United States)

    Chisholm, James S.; Whitmore, Kathryn F.

    2016-01-01

    Situated at the intersection of research on Holocaust education and embodied literacies this study examines how an arts-based instructional approach engaged middle school learners in developing empathetic perspectives on the Anne Frank narrative. We addressed the research question: What can adolescents who are using their bodies to gain empathy…

  20. 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

  1. 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

    2012-12-01

    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.

  2. A computation ANN model for quantifying the global solar radiation: A case study of Al-Aqabah-Jordan

    Science.gov (United States)

    Abolgasem, I. M.; Alghoul, M. A.; Ruslan, M. H.; Chan, H. Y.; Khrit, N. G.; Sopian, K.

    2015-09-01

    In this paper, a computation model is developed to predict the global solar radiation (GSR) in Aqaba city based on the data recorded with association of Artificial Neural Networks (ANN). The data used in this work are global solar radiation (GSR), sunshine duration, maximum & minimum air temperature and relative humidity. These data are available from Jordanian meteorological station over a period of two years. The quality of GSR forecasting is compared by using different Learning Algorithms. The decision of changing the ANN architecture is essentially based on the predicted results to obtain the best ANN model for monthly and seasonal GSR. Different configurations patterns were tested using available observed data. It was found that the model using mainly sunshine duration and air temperature as inputs gives accurate results. The ANN model efficiency and the mean square error values show that the prediction model is accurate. It is found that the effect of the three learning algorithms on the accuracy of the prediction model at the training and testing stages for each time scale is mostly within the same accuracy range.

  3. 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...

  4. 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

  5. Effect of hydrogen fluoride on pollen germination and pollen tube growth in Prunus avium L. cv. Royal Ann

    Energy Technology Data Exchange (ETDEWEB)

    Facteau, T.J.; Wang, S.Y.; Rowe, K.E.

    1973-05-01

    Increased fluoride (F) fumigation levels resulted in decrease in percent Royal Ann pollen germination and pollen tube growth. As dose (hour x concentration in ..mu.. gF/m/sup 3/) increased, Van pollen tube growth in vivo decreased. A linear relationship between increased dose and fluoride residue in the flowers was shown. 14 references, 5 figures.

  6. 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

    2016-07-01

    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/. PMID:27179030

  7. The Rhetoric Study on the Two Chinese Versions of Anne of Green Gables in Terms of Skopos Theory

    Institute of Scientific and Technical Information of China (English)

    高志香

    2014-01-01

    On the basis of the three major rules of Skopos theory,the author of this thesis makes great efforts to make a contrastive study on the two Chinese versions of the famous novel Anne of Green Gables, illustrating mainly from the perspectives of rhetoric.

  8. 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.

  9. 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

  10. Development of experimental design approach and ANN-based models for determination of Cr(VI) ions uptake rate from aqueous solution onto the solid biodiesel waste residue.

    Science.gov (United States)

    Shanmugaprakash, M; Sivakumar, V

    2013-11-01

    In the present work, the evaluation capacities of two optimization methodologies such as RSM and ANN were employed and compared for predication of Cr(VI) uptake rate using defatted pongamia oil cake (DPOC) in both batch and column mode. The influence of operating parameters was investigated through a central composite design (CCD) of RSM using Design Expert 8.0.7.1 software. The same data was fed as input in ANN to obtain a trained the multilayer feed-forward networks back-propagation algorithm using MATLAB. The performance of the developed ANN models were compared with RSM mathematical models for Cr(VI) uptake rate in terms of the coefficient of determination (R(2)), root mean square error (RMSE) and absolute average deviation (AAD). The estimated values confirm that ANN predominates RSM representing the superiority of a trained ANN models over RSM models in order to capture the non-linear behavior of the given system. PMID:24080294

  11. Inverse problems using ANN in long range atmospheric dispersion with signature analysis picked scattered numerical sensors from CFD

    International Nuclear Information System (INIS)

    Scalar dispersion in the atmosphere is an important area wherein different approaches are followed in development of good analytical model. The analyses based on Computational Fluid Dynamics (CFD) codes offer an opportunity of model development based on first principles of physics and hence such models have an edge over the existing models. Both forward and backward calculation methods are being developed for atmospheric dispersion around NPPs at BARC Forward modeling methods, which describe the atmospheric transport from sources to receptors, use forward-running transport and dispersion models or computational fluid dynamics models which are run many times, and the resulting dispersion field is compared to observations from multiple sensors. Backward or inverse modeling methods use only one model run in the reverse direction from the receptors to estimate the upwind sources. Inverse modeling methods include adjoint and tangent linear models, Kalman filters, and variational data assimilation, and neural network. The present paper is aimed at developing a new approach where the identified specific signatures at receptor points form the basis for source estimation or inversions. This approach is expected to reduce the large transient data sets to reduced and meaningful data sets. In fact this reduces the inherently transient data set into a time independent mean data set. Forward computation were carried out with CFD code for various case to generate a large set of data to train the ANN. Specific signature analysis was carried out to find the parameters of interest for ANN training like peak concentration, time to reach peak concentration and time to fall, the ANN was trained with data and source strength and location were predicted from ANN. Inverse problem was performed using ANN approach in long range atmospheric dispersion. An illustration of application of CFD code for atmospheric dispersion studies for a hypothetical case is also included in the paper. (author)

  12. 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

  13. 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.

  14. Wavelet Transform and ANNs for Detection and Classification of Power Signal Disturbances

    Directory of Open Access Journals (Sweden)

    Aslam Pervez Memon

    2012-10-01

    Full Text Available This article proposes WT (Wavelet Transform and an ANN (Artificial Neural Network based approach for detection and classification of EPQDs (Electrical Power Quality Disturbances. A modified WT known as ST (Stockwell Transform is suggested for feature extraction and PNN (Probabilistic Neural Network for pattern classification. The ST possesses outstanding time-frequency resolution characteristics and its phase correction techniques determine the phase of the WT to the zero time point. The feature vectors for the input of PNN are extracted using ST technique and these obtained features are discrete, logical, and unaffected to noisy data of distorted signals. The data of the models required to develop the distorted EPQ (Electrical Power Quality signals, is obtained within the ranges specified by IEEE 1159-1995 in its literatures. The features vectors including noisy time varying data during steady state or transient condition and extracted using the ST, are trained through PNN for pattern classification. Their simulation results demonstrate that the proposed methodology is successful and can classify EPQDs

  15. [Simulation of nitrogen and phosphorus loss in Siling Reservoir watershed with AnnAGNPS].

    Science.gov (United States)

    Bian, Jin-yun; Wang, Fei-er; Yang, Jia; Yu, Jie; Lou, Li-ping; Yu, Dan-ping

    2012-08-01

    By using annual agricultural non-point source model (AnnAGNPS), this study simulated the export loading of nitrogen and phosphorus in Siling Reservoir watershed in Tiaoxi Basin, and integrated with the simulation results, the spatial distribution characteristics of non-point source pollution in the watershed was analyzed. The result showed that the export loading of nitrogen and phosphorus had similar characteristics: in the study area, the export loading of nutrients were higher in southern and western regions and lower in northern and eastern regions. Forest land mainly made up of bamboo was the main export source of nitrogen and phosphorus loading with the contribution above 90% of nutrient load of whole watershed. Three fertilization practices such as no fertilizer (CK), site-specific nutrient management (SSNM) and farmers' fertilizaction practice (FFP) were used in the scenario analysis. The scenario analysis showed that to a certain degree, SSNM could reduce the nitrogen and phosphorus loss. Comparing with FFP, the reduction of SSNM in dissolved nitrogen (DN), particle nitrogen (PN), dissolved phosphorus (DP) and particle phosphorus (PP) was 8.17%, 4.33%, 9.08% and 1.02%, respectively. PMID:23213887

  16. Design of E-shaped Microstrip Antenna And Parameters estimation using ANN – A review

    Directory of Open Access Journals (Sweden)

    Gurdeep Singh

    2012-03-01

    Full Text Available The microstrip antenna finds applications in varied and upcoming technologies because it offers low profile, narrow bandwidth, high gain, and compact antenna element. The microstrip antenna have biggest disadvantage of narrow bandwidth and poor impedance matching. To make microstrip antenna compatible with commercial applications, the bandwidth enhancement and impedance matching of such antennas are to be done. To improve the bandwidth the L probe and U slot techniques are used, those are efficient to enhance the bandwidth. In this research, Microstrip patch antenna with coaxial feed technique is integrated. The impedance matching of antenna depends upon type and position of the feed because impedance matching of source at the feeding point of antenna is very important for efficient operation of antenna. But it is not an easy task to achieve for a simple microstrip patch antenna. To solve this problem an Artificial Neural Network (ANN model has proposed in this research. Artificial Neural Network is highly simplified model of the structure of the biological neural network to calculate the parameters by estimation.

  17. 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.

  18. 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.

  19. 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.

  20. 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?

  1. Developing an integrated model for evaluation and selection of six sigma projects using ANN

    Directory of Open Access Journals (Sweden)

    Seyed Habib Allah Mirghafoori

    2012-03-01

    Full Text Available Six Sigma is one of the most popular systems for eliminating waste, reducing cost and improving quality in organizations. The process of evaluation and selection of projects is the first step towards implementing Six Sigma and many researchers believe that these are important for the success of such projects. Respectively, in this paper, a model has been proposed based on artificial neural network (ANN as an effective tool for non-linear information processing . In this model, six criteria of project cost, project duration, number of Black and Green Belts, improving customer satisfaction, impact on business strategy and financial impact have been identified as input factors and productivity and sigma level of improvement projects have been estimated using multi-layer perception (MLP. Finally, sensitivity analysis has been used for evaluation of the influence of inputs on outputs. The findings imply that 'business strategy' and 'financial impact' have the most and the least influence on model's outputs, including productivity and Sigma level, respectively.     .

  2. Gender and translation: focus on the québécois writer Anne Hébert

    Directory of Open Access Journals (Sweden)

    Lilian Virginia Porto

    2014-07-01

    Full Text Available The objective of this paper is to demonstrate the importance of the Québécois writer Anne Hébert (1916-2000 to the development of a new translation practice in Canada, the feminist translation, which has as prominent contributors Barbara Godard, Susanne de Lotbinière-Harwood, Luise von Flotow, and Sherry Simon. In this context, it is of significance the conversation between Hébert and Frank Scott about the translation of her poem Le tombeau des rois, by Scott. The recurrent themes in Anne Hébert works that after the 1990ths are read in a feminist perspective are mentioned, namely: conflicting family relationships, anger and violence of the characters, interior imprisonment of the human being, and his desires of liberation, emphasizing the treatment of the female universe. The gender issues involving two translations of the hebertian novel Kamouraska are also discussed.

  3. Quinze années de sécheresse au Sahel : impact sur les ressources et moyens de lutte

    OpenAIRE

    Sircoulon, Jacques

    1984-01-01

    Les pays africains directement situés au sud du Sahara connaissent depuis quinze ans des déficits hydropluviométriques particulièrement marqués. Après l'extrême sévérité des années 1972 et 1973, on assiste, avec les années 1982 et 1983, à un renforcement accru de la sécheresse. Les observations hydrologiques et pluviométriques, provenant des stations les plus anciennes ou des réseaux de base, permettent de mettre en évidence que la sécheresse actuelle est la plus importante de la période hist...

  4. COMPARISON OF ANN WITH RSM IN PREDICTING SURFACE ROUGHNESS WITH RESPECT TO PROCESS PARAMETERS IN Nd: YAG LASER DRILLING

    Directory of Open Access Journals (Sweden)

    ARINDAM MAJUMDER

    2010-10-01

    Full Text Available Micro machining is a ready solution towards the miniaturization of component and devices. The process parameters of low power pulse Nd:YAG laser machining such as pulse rate, pulse width, speed play a major role in deciding the surface quality. Two methods, response surface methodology (RSM and artificial neural network (ANN were used to predict the surface roughness of Nd:YAG laser drilled mild steel specimens. The experiments were conducted based on the three factors, three levels and central composite face centered design with full replication technique and mathematical model was developed. Also a comparison has been done with between the result obtained throughresponse surface methodology (RSM and artificial neural network (ANN.

  5. COMPARISON OF ANN WITH RSM IN PREDICTING SURFACE ROUGHNESS WITH RESPECT TO PROCESS PARAMETERS IN Nd: YAG LASER DRILLING

    OpenAIRE

    ARINDAM MAJUMDER

    2010-01-01

    Micro machining is a ready solution towards the miniaturization of component and devices. The process parameters of low power pulse Nd:YAG laser machining such as pulse rate, pulse width, speed play a major role in deciding the surface quality. Two methods, response surface methodology (RSM) and artificial neural network (ANN) were used to predict the surface roughness of Nd:YAG laser drilled mild steel specimens. The experiments were conducted based on the three factors, three levels and cen...

  6. Early diagnosis of systemic lupus erythmatosus using ANN models of dsDNA binding antibody sequence data

    OpenAIRE

    Bahari, Mohamad Hasan; Mahmoudi, Mahmoud; Azemi, Asad; Mirsalehi, Mir Mojtaba; Khademi, Morteza

    2010-01-01

    In this paper a new method based on artificial neural networks (ANN), is introduced for identifying pathogenic antibodies in Systemic Lupus Erythmatosus (SLE). dsDNA binding antibodies have been implicated in the pathogenesis of this autoimmune disease. In order to identify these dsDNA binding antibodies, the protein sequences of 42 dsDNA binding and 608 non-dsDNA binding antibodies were extracted from Kabat database and encoded using a physicochemical property of their amino acids namely Hyd...

  7. 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

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

    OpenAIRE

    Maksimova A.A.

    2016-01-01

    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 k...

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

    Science.gov (United States)

    Feister, U.; Junk, J.; Woldt, M.; Bais, A.; Helbig, A.; Janouch, M.; Josefsson, W.; Kazantzidis, A.; Lindfors, A.; den Outer, P. N.; Slaper, H.

    2008-06-01

    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.

  10. 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.

  11. AE index forecast at different time scales through an ANN algorithm based on L1 IMF and plasma measurements

    Science.gov (United States)

    Pallocchia, G.; Amata, E.; Consolini, G.; Marcucci, M. F.; Bertello, I.

    2008-02-01

    The AE index is known to have two main components, one directly driven by the solar wind and the other related to the magnetotail unloading process. As regards the role played by the IMF and solar wind parameters, recently several authors used artificial neural networks (ANN) to forecast AE from solar wind data. Following this track, in this paper we present a study of the AE forecast at different time scales, from 5 min to 1 h, in order to check whether the performance of the ANN prediction varies significantly as a function of the AE time resolution.The study is based on a new ANN Elman network with Bz (in GSM) and Vx as inputs, one hidden layer containing four neurons, four context units and one output neuron. We find that the forecast AE values, during disturbed AE periods, result to be always smaller than the experimental values; on the other hand, the algorithm performance improves as the time scale increases, i.e. the total standard deviation (calculated over a test data set) between the forecast and the Kyoto AE decreases as the averaging time increases. Under the hypothesis that this decrease follows an exponential law, we find that the 1 h scale normalised standard deviation is 0.975, very close to the asymptotic value of 0.95 for an infinite averaging time. We interpret our results in the sense that the unloading component of the AE variations cannot be predicted from IMF and solar wind parameters only.

  12. Development of LC-MS determination method and back-propagation ANN pharmacokinetic model of corynoxeine in rat.

    Science.gov (United States)

    Ma, Jianshe; Cai, Jinzhang; Lin, Guanyang; Chen, Huilin; Wang, Xianqin; Wang, Xianchuan; Hu, Lufeng

    2014-05-15

    Corynoxeine(CX), isolated from the extract of Uncaria rhynchophylla, is a useful and prospective compound in the prevention and treatment for vascular diseases. A simple and selective liquid chromatography mass spectrometry (LC-MS) method was developed to determine the concentration of CX in rat plasma. The chromatographic separation was achieved on a Zorbax SB-C18 (2.1 mm × 150 mm, 5 μm) column with acetonitrile-0.1% formic acid in water as mobile phase. Selective ion monitoring (SIM) mode was used for quantification using target ions m/z 383 for CX and m/z 237 for the carbamazepine (IS). After the LC-MS method was validated, it was applied to a back-propagation artificial neural network (BP-ANN) pharmacokinetic model study of CX in rats. The results showed that after intravenous administration of CX, it was mainly distributed in blood and eliminated quickly, t1/2 was less than 1h. The predicted concentrations generated by BP-ANN model had a high correlation coefficient (R>0.99) with experimental values. The developed BP-ANN pharmacokinetic model can be used to predict the concentration of CX in rats. PMID:24732215

  13. Kaasaegne kunstiõpetus, uks praegusesse ülevisualiseeritud maailma / Anne Susanna Lindström, Tõnu Talve ; küsitlenud Reet Varblane

    Index Scriptorium Estoniae

    Lindström, Anne Susanna

    2007-01-01

    Intervjuu soome kunstiõpetaja, Eesti Kunstiakadeemia õpetajate koolituskeskuse dotsent Anne Susanna Lindströmiga ja Keila Gümnaasiumi kunstiõpetaja, maalikunstnik Tõnu Talvega kunstihariduse probleemidest ja kunstiõpetajate maailmakongressist "Horisondid 2007"

  14. Data fusion with artificial neural networks (ANN) for classification of earth surface from microwave satellite measurements

    Science.gov (United States)

    Lure, Y. M. Fleming; Grody, Norman C.; Chiou, Y. S. Peter; Yeh, H. Y. Michael

    1993-01-01

    A data fusion system with artificial neural networks (ANN) is used for fast and accurate classification of five earth surface conditions and surface changes, based on seven SSMI multichannel microwave satellite measurements. The measurements include brightness temperatures at 19, 22, 37, and 85 GHz at both H and V polarizations (only V at 22 GHz). The seven channel measurements are processed through a convolution computation such that all measurements are located at same grid. Five surface classes including non-scattering surface, precipitation over land, over ocean, snow, and desert are identified from ground-truth observations. The system processes sensory data in three consecutive phases: (1) pre-processing to extract feature vectors and enhance separability among detected classes; (2) preliminary classification of Earth surface patterns using two separate and parallely acting classifiers: back-propagation neural network and binary decision tree classifiers; and (3) data fusion of results from preliminary classifiers to obtain the optimal performance in overall classification. Both the binary decision tree classifier and the fusion processing centers are implemented by neural network architectures. The fusion system configuration is a hierarchical neural network architecture, in which each functional neural net will handle different processing phases in a pipelined fashion. There is a total of around 13,500 samples for this analysis, of which 4 percent are used as the training set and 96 percent as the testing set. After training, this classification system is able to bring up the detection accuracy to 94 percent compared with 88 percent for back-propagation artificial neural networks and 80 percent for binary decision tree classifiers. The neural network data fusion classification is currently under progress to be integrated in an image processing system at NOAA and to be implemented in a prototype of a massively parallel and dynamically reconfigurable Modular

  15. The Prevention and Control Test of Sendebon on Dictyoploca j aponica Butler%森得保林间防治银杏大蚕蛾试验1)

    Institute of Scientific and Technical Information of China (English)

    董德军

    2013-01-01

    The prevention and control test in forest area of Sendebon finished powder on 2 instar larvae of Dictyoploca j aponica Butler’s results show that the most suitable dosage is 5 kg/hm2 application .The prevention and control efficacy appear two peak ,respectively after application 1d and 3d ,insecticidal rate is 3-5d .The 5 kg/hm2 of Sendebon finished powder is the best dose on prevention and control before the 3 instar larvae of Dictyoploca j aponica Butler ,after application 4D control effect reaches 94 .3% ;the forest application demonstration test indicates :the 5 kg/hm2 of Sendebon finished powder is the best dose ,control effect 91 .4% ,all the leaves have not reached the standard of disaster ,prevention and control direct cost for 55 .5¥/hm 2 .The drug is safe for human and animals ,no pollution ,no harm ,knockdown force strong ,fast insecticidal speed ,on Di-ctyoploca j aponica Butler larvae have a very good killing effect ,is the present high toxic pesti-cides new preferred alternative products ,can popularization and application in large area produc-tion .%  森得保成品粉剂林间小区防治银杏大蚕蛾2龄试验结果表明,林间施药最适用药量为5kg/hm 2.防治药效出现两个高峰期,分别在施药后第1d和第3d ,杀虫速率3~5d.森得保粉剂5kg/hm2防治银杏大蚕蛾3龄前幼虫为最适剂量,施药后第4d防效达到94.3%;林间应用示范试验表明,森得保粉剂5kg/hm2为最佳剂量,防效91.4%,叶片均未达到成灾标准,防治直接费用为55.5元/hm2.该药具有对人畜安全,无污染、无药害、击倒力强、杀虫速度快,对银杏大蚕蛾幼虫有很好的杀灭作用,是目前高毒化学农药的最新首选替代产品,在生产上可以大面积推广应用.

  16. 约瑟芬.巴特勒与维多利亚时代废除《传染病法》运动%Josephine Butler and the Repeal Movement for the Contagious Diseases Acts in Victorian Era

    Institute of Scientific and Technical Information of China (English)

    毛利霞

    2015-01-01

    约瑟芬。巴特勒是维多利亚时代的女权运动先驱。为了废除针对社会下层女性的《传染病法》,她成立全国妇女协会并出任领导人,通过到处演讲、报刊发文、组织请愿等方式反对国家规范卖淫;她谴责《传染病法》违背道德、法律、歧视社会下层女性,主张提升女性的社会地位,为女性积极参与社会事务、争取男女平等提供了基础。%Josephine Butler was a pioneer in the feminist movement of the Victorian era.To repeal the Contagious Diseases Acts against the women of the lower classes, she founded and served as leader of the Ladies’ National Association for the Repeal for the Contagious Acts, against the state’ regulation of prostitution by the way of speaking everywhere, publishing essays on the press, spon-soring petitions the speech , etc.She condemned the Contagious Diseases Acts against morals and laws, discrimination for the women of the lower classes, while advocating to promotion of the social status of women .What she had done provided the basis for women to take part in social affairs and to fight for gender equality .

  17. 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

  18. 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

  19. Design of an Experiment to Measure ann Using 3H(γ, pn)n at HIγS★

    OpenAIRE

    Friesen F.Q.L.; Ahmed M.W.; Crowe B.J.; Crowell A.S.; Cumberbatch L.C.; Fallin B.; Han Z.; Howell C.R.; Malone R.M.; Markoff D.; Tornow W.; Witała H.

    2016-01-01

    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...

  20. 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...

  1. Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid technique

    Science.gov (United States)

    Yadav, Ravindra Nath; Yadava, Vinod; Singh, G. K.

    2013-09-01

    The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness ( R a). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGAII gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.

  2. Development of ANN-based models to predict the static response and dynamic response of a heat exchanger in a real MVAC system

    International Nuclear Information System (INIS)

    This paper presents a systematic approach to develop artificial neural network (ANN) models to predict the performance of a heat exchanger operating in real mechanical ventilation and air-conditioning (MVAC) system. Two approaches were attempted and presented. Every detailed components of the MVAC system have been considered and we attempt to model each of them by one ANN. This study used the neural network technique to obtain a static and a dynamic model for a heat exchanger mounted in an air handler unit (AHU), which is the key component of the MVAC system. It has been verified that almost all of the predicted values of the ANN model were within 95% - 105% of the measured values, with a consistent mean relative error (MRE) smaller than 2.5%. The paper details our experiences in using ANNs, especially those with back-propagation (BP) structures. Also, the weights and biases of our trained-up ANN models are listed out, which serve as good reference for readers to deal with their own situations

  3. 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.

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

    Institute of Scientific and Technical Information of China (English)

    Mahdi Saadat; Manoj Khandelwal; M. Monjezi

    2014-01-01

    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.

  5. Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES

    International Nuclear Information System (INIS)

    Highlights: • We present an ANN-controlled SMES in this paper. • The objective is to enhance transient stability of WF connected to power system. • The control strategy depends on a PWM VSC and DC–DC converter. • The effectiveness of proposed controller is compared with PI controller. • The validity of the proposed system is verified by simulation results. - Abstract: This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) system to enhance the transient stability of wind farms connected to a multi-machine power system during network disturbances. The control strategy of SMES depends mainly on a sinusoidal pulse width modulation (PWM) voltage source converter (VSC) and an adaptive ANN-controlled DC–DC converter using insulated gate bipolar transistors (IGBTs). The effectiveness of the proposed adaptive ANN-controlled SMES is then compared with that of proportional-integral (PI)-controlled SMES optimized by response surface methodology and genetic algorithm (RSM–GA) considering both of symmetrical and unsymmetrical faults. For realistic responses, real wind speed data and two-mass drive train model of wind turbine generator system is considered in the analyses. The validity of the proposed system is verified by the simulation results which are performed using the laboratory standard dynamic power system simulator PSCAD/EMTDC. Notably, the proposed adaptive ANN-controlled SMES enhances the transient stability of wind farms connected to a multi-machine power system

  6. Optimization of delignification of two Pennisetum grass species by NaOH pretreatment using Taguchi and ANN statistical approach.

    Science.gov (United States)

    Mohaptra, Sonali; Dash, Preeti Krishna; Behera, Sudhanshu Shekar; Thatoi, Hrudayanath

    2016-01-01

    In the bioconversion of lignocelluloses for bioethanol, pretreatment seems to be the most important step which improves the elimination of the lignin and hemicelluloses content, exposing cellulose to further hydrolysis. The present study discusses the application of dynamic statistical techniques like the Taguchi method and artificial neural network (ANN) in the optimization of pretreatment of lignocellulosic biomasses such as Hybrid Napier grass (HNG) (Pennisetum purpureum) and Denanath grass (DG) (Pennisetum pedicellatum), using alkali sodium hydroxide. This study analysed and determined a parameter combination with a low number of experiments by using the Taguchi method in which both the substrates can be efficiently pretreated. The optimized parameters obtained from the L16 orthogonal array are soaking time (18 and 26 h), temperature (60°C and 55°C), and alkali concentration (1%) for HNG and DG, respectively. High performance liquid chromatography analysis of the optimized pretreated grass varieties confirmed the presence of glucan (47.94% and 46.50%), xylan (9.35% and 7.95%), arabinan (2.15% and 2.2%), and galactan/mannan (1.44% and 1.52%) for HNG and DG, respectively. Physicochemical characterization studies of native and alkali-pretreated grasses were carried out by scanning electron microscopy and Fourier transformation Infrared spectroscopy which revealed some morphological differences between the native and optimized pretreated samples. Model validation by ANN showed a good agreement between experimental results and the predicted responses. PMID:26584152

  7. Comparison of Advanced Pixel Based (ANN and SVM and Object-Oriented Classification Approaches Using Landsat-7 Etm+ Data

    Directory of Open Access Journals (Sweden)

    Prasun Kumar Gupta

    2010-08-01

    Full Text Available In this study, the pixel-based and object-oriented image classification approaches were used for identifying different land use types in Karnal district. Imagery from Landsat-7 ETM with 6 spectral bands was used to perform the image classification.Ground truth data were collected from the available maps, personal knowledge and communication with the local people. In order to prepare land use map different approaches: Artificial Neural Network(ANN and Support Vector Machine (SVM were used. For performing object oriented classification eCognition software was used. During the object oriented classification, in first step several differentsets of parameters were used for image segmentation and in second step nearest neighbor classifier was used for classification. Outcome from the classification works show that the object-oriented approach gave more accurate results (including higher producer’s and user’s accuracy for most of the land cover classes than those achieved by pixelbased classification algorithms. It is also observed that ANN performed better as compared to SVM classification approach.

  8. Prediction of sediment load by sediment rating curve and neural network (ANN) in El Kebir catchment, Algeria

    Indian Academy of Sciences (India)

    Z A Boukhrissa; K Khanchoul; Y Le Bissonnais; M Tourki

    2013-10-01

    The annual sediment load of a river is generally determined either from direct measurements of the sediment load throughout the year or from any of the many sediment transport equations that are available today. Due to lack of a long-term sediment concentration data, sediment rating curves and flux estimation are the most widely applied. This paper has investigated the abilities of statistical models to improve the accuracy of streamflow–suspended sediment relationships in daily and annual suspended sediment estimation. In this study, a comparison was made between suspended sediment rating curves and artificial neural networks (ANNs) for the El Kebir catchment. Daily water discharge and daily suspended sediment data from the gauging station of Ain Assel, were used as inputs and targets in the models which were based on the cascade-forward and feed-forward back-propagation using Levenberg–Marquardt and Bayesian regularization algorithms. The model results have shown that the ANN models have the highest efficiency to reproduce the daily sediment load and the global annual sediment yields. Our estimation based on the available data indicated that the areas along the El Kebir River have experienced high sediment fluxes that could have obvious impacts on the sediment trapping and siltation in the Mexa reservoir.

  9. 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.

  10. Usefulness of ANN-based model for copper removal from aqueous solutions using agro industrial waste materials

    Directory of Open Access Journals (Sweden)

    Petrović Marija S.

    2015-01-01

    Full Text Available The purpose of this study was to investigate the adsorption properties of locally available lignocelluloses biomaterials as biosorbents for the removal of copper ions from aqueous solution. Materials are generated from juice production (apricot stones and from the corn milling process (corn cob. Such solid wastes have little or no economic value and very often present a disposal problem. Using batch adsorption techniques the effects of initial Cu(II ions concentration (Ci, amount of biomass (m and volume of metal solution (V, on biosorption efficiency and capacity were studied for both materials, without any pre-treatments. The optimal parameters for both biosorbents were selected depending on a highest sorption capability of biosorbent, in removal of Cu(II. Experimental data were compared with second order polynomial regression models (SOPs and artificial neural networks (ANNs. SOPs showed acceptable coefficients of determination (0.842 - 0.997, while ANNs performed high prediction accuracy (0.980-0.986 in comparison to experimental results. [Projekat Ministarstva nauke Republike Srbije, br. TR 31003, TR 31055

  11. Considering the Influence of Multi-weather-factors to Forecasting the Water Requirement of Well Irrigation Rice Based on ANN Model

    Institute of Scientific and Technical Information of China (English)

    FU Qiang; FU Hong; LIANG Chuan

    2004-01-01

    The author considered the influences of several weather factors, such as air temperature, sunlight, saturation deficiency, wind speed and so on to forecasting the water requirement of well irrigation rice based on Artificial Neutron Network. Through dealing with the time series of water requirement and its influence factors, the author applied the multi-dimension data correlation analysis to ensure the net structure. Thus, the ANN model to forecast the water requirement of well irrigation rice has been built. By means of the ANN model, uncertainty relation between water requirement and many influence factors among the interior and exterior can be discovered. The results of ANN model is good, and can provide some references for establishing the water saving irrigation system.

  12. 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.

  13. 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

  14. Dating of pollen samples from the sediment core of Lake St Anne in the East Carpathian Mountains, Romania

    Science.gov (United States)

    Hubay, Katalin; Katalin Magyari, Enikö; Braun, Mihály; Schabitz, Frank; Molnár, Mihály

    2016-04-01

    Lake St Anne (950 m a.s.l.) is situated in the Ciomadul volcano crater, the youngest volcano in the Carpathians. Aims driving forward the studies there are twofold, one is dating the latest eruption of the Ciomadul volcano and the other is the multi-proxy palaeoenvironmental reconstruction of this region. The sediment of Lake St Anne was sampled several times already, but never reached the bottom of the lake before. During the winter of 2013 at a new core location drilling started at 600 cm water depth and finally reached the bottom of the lake sediment at approximately 2300 cm including water depth. As for all multi-proxy studies essential requirement was to build a reliable chronology. Sediments were dated by radiocarbon method. Previous radiocarbon dates were measured on plant macrofossils, charcoal, Cladocera eggs, chironomid head capsules and bulk lake sediments. Lake St Anne has volcanic origin and there is intensive upwelling of CO2it is important to study and take into consideration, whether there is any local reservoir effect at the case of samples where it could be problematic. Furthermore the late part of the sediment section (between 15,000 and 30,000 cal. yr BP) has low organic matter content (less than 2-4%) with scarcity of datable plant macrofossil material. In this review a different fraction of pollen samples with terrestrial origin was tested and studied as a novel sample type for the radiocarbon dating. Pollen samples were extracted from the lake sediment cores. This type of organic material could be an ideal candidate for radiocarbon based chronological studies as it has terrestrial source and is present in the whole core in contrast with the terrestrial macrofossils. Although the pollen remains were present in the whole core, in many cases their amount give a challenge even for the AMS technic. Samples were measured with EnvironMICADAS AMS and its gas ion source in the HEKAL laboratory (Debrecen, Hungary). We examine the reliability the

  15. DCS Survey Submission for Butler County, NE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and...

  16. Ann Conway-Jones, Gregory of Nyssa’s Tabernacle Imagery in its Jewish and Christian Contexts

    OpenAIRE

    Vinel, Françoise

    2016-01-01

    S’il fallait caractériser la perspective et la méthode définies par Ann Conway-Jones (ACJ) dans le premier chapitre du livre, on pourrait utiliser le titre des études publiées par Sarah Coakley sous le titre : Re-Thinking Gregory of Nyssa, paru en 2003 chez Blackwell à Oxford. Le renouvellement de l’approche de l’œuvre et de la pensée du Cappadocien passe par le refus ou du moins la critique de distinctions longtemps considérées comme opératoires (christianisme/platonisme, théologie/spiritual...

  17. Freeman Chain Code (FCC Representation in Signature Fraud Detection Based On Nearest Neighbour and Artificial Neural Network (ANN Classifiers

    Directory of Open Access Journals (Sweden)

    Aini Najwa Azmi

    2014-12-01

    Full Text Available This paper presents a signature verification system that used Freeman Chain Code (FCC as directional feature and data representation. There are 47 features were extracted from the signature images from six global features. Before extracting the features, the raw images were undergoing pre-processing stages which were binarization, noise removal by using media filter, cropping and thinning to produce Thinned Binary Image (TBI. Euclidean distance is measured and matched between nearest neighbours to find the result. MCYT-SignatureOff-75 database was used. Based on our experiment, the lowest FRR achieved is 6.67% and lowest FAR is 12.44% with only 1.12 second computational time from nearest neighbour classifier. The results are compared with Artificial Neural Network (ANN classifier.

  18. 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.

  19. Book review. Ann-Hege Lorvik Waterhouse: In the material world: Perspectives and practices in kindergarten art activities

    Directory of Open Access Journals (Sweden)

    Nina Scott Frisch

    2013-12-01

    Full Text Available In the review of Ann-Hege Lorvik Waterhouse’s book I materialenes verden; perspektiver og praksiser i barnehagens kunstneriske virksomhet (In the material world: Perspectives and practices in kindergarten art activities,  Frisch states that despite the fact that the author is in some ways critical of the impact Reggio Emilia has had on Norwegian kindergartens, in her opinion, the book's content rests on the shoulders of the exploratory child-centred educational philosophy. The book offers great, relevant images related to new reflective concrete ideas, and it has a beautiful layout. Waterhouse points out her core argument several places in the text: a good kindergarten teacher is a creative kindergarten teacher – and the book reviewer adds, a good kindergarten teacher is a reading, reflecting kindergarten teacher.

  20. 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.

  1. 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.

  2. L’Éducation Physique et Sportive entre sport et mixité durant les années 68

    OpenAIRE

    Szerdahelyi, Loïc

    2009-01-01

    À partir de textes officiels, de publications professionnelles et de représentations d’enseignantes d’EPS ayant vécu la mise en place de la mixité, cet article analyse la construction du genre en éducation physique durant les années 68. Si la mixité est d’abord évacuée au profit de l’officialisation sportive de l’éducation physique, les dissidences acquièrent une légitimité certaine durant la crise de mai-juin 68. Pourtant, l’organisation de l’EPS conserve une frontière et maintient les disti...

  3. Estimation of runoff and sediment yield in the Redrock Creek watershed using AnnAGNPS and GIS

    Institute of Scientific and Technical Information of China (English)

    Tsou Ming-Shu; ZHAN Xiao-yong

    2004-01-01

    Sediment has been identified as a significant threat to water quality and channel clogging that in turn may lead to river flooding. With the increasing awareness of the impairment from sediment to water bodies in a watershed, identifying the locations of the major sediment sources and reducing the sediment through management practices will be important for an effective watershed management. The annualized agricultural non-point source pollution(AnnAGNPS) model and newly developed GIS interface for it were applied in a small agricultural watershed, Redrock Creek watershed, Kansas, in this pilot study for exploring the effectiveness of using this model as a management tool. The calibrated model appropriately simulated monthly runoff and sediment yield through the practices in this study and potentially suggested the ways of sediment reduction through evaluating the changes of land use and field operation in the model for the purpose of watershed management.

  4. 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.

  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. 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.

  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%. PMID:24595749

  8. 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"

  9. Anneli Remme soovitab : Muusika klaasharmoonikale / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2006-01-01

    Prantsuse klaasharmoonikamängija Thomas Blochi kontserdist 22. juulil Tallinna raekojas ja 23. juulil Pärnu kontserdimajas festivali "Klaaspärlimäng" raames (festivali kunstiline juht Peeter Vähi)

  10. 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

  11. 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

  12. 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

  13. "Je ne sais plus du tout qui je suis": The Phenomenology of Cancer in Anne Cuneo’s 'Une cuillerée de bleu'

    OpenAIRE

    Wilson, Steven; Hübel, Sylvia

    2016-01-01

    Taking as its case study Anne Cuneo’s autopathography, Une cuillerée de bleu (1979), and supported by a phenomenological reading of the subjective realities of illness, including feelings of alienation, fragmentation, and passivity, this article considers how the experience of cancer affects the patient’s perception of her body, self, and world.

  14. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in optimization of the immobilization conditions for lipase from Candida rugosa on Amberjet(®) 4200-Cl.

    Science.gov (United States)

    Fatiha, Benamia; Sameh, Bouchagra; Youcef, Saihi; Zeineddine, Djeghaba; Nacer, Rebbani

    2013-01-01

    Candida rugosa lipase (CRL) is an important industrial enzyme that is successfully utilized in a variety of hydrolysis and esterification reactions. This work describes the optimization of immobilization conditions (enzyme/support ratio, immobilization temperature, and buffer concentration) of CRL on the anionic resin Amberjet® 4200-Cl, using enantioselectivity (E) as the reference parameter. The model reaction used for this purpose is the acylation of (R,S)-1-phenylethanol. Optimal conditions for immobilization have been investigated through a response surface methodology (RSM) and artificial neural network (ANN). The coefficient of determination (R(2)) and the root mean square error (RMSE) values between the calculated and estimated responses were respectively equal to 0.99 and 0.06 for the ANN training set, 0.97 and 0.2 for the ANN testing set, and 0.94 and 0.4 for the RSM training set. Both models provided good quality predictions, yet the ANN showed a clear superiority over RSM for both data fitting and estimation capabilities. PMID:23215653

  15. Vähem formaalsust, rohkem julgust ja enesekriitikat! / Marko Mäetamm, Anneli Porri, Tiit Pääsuke ... [jt.] ; intervjueerinud Reet Varblane

    Index Scriptorium Estoniae

    2009-01-01

    Kunstiõpetamise võimalikkuse ja vajalikkuse üle vestlesid Eesti Kunstiakadeemia vabade kunstide teaduskonna dekaan Marko Mäetamm, fotokunsti osakonna õppejõud Anneli Porri, emeriitprofessor Tiit Pääsuke, prorektor Liina Siib, graafilise disaini osakonna õppejõud Indrek Sirkel ja ehtekunsti osakonna õppejõud Tanel Veenre

  16. 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

  17. 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

  18. A novel and generalized approach in the inversion of geoelectrical resistivity data using Artificial Neural Networks (ANN)

    Indian Academy of Sciences (India)

    A Stanley Raj; Y Srinivas; D Hudson Oliver; D Muthuraj

    2014-03-01

    The non-linear apparent resistivity problem in the subsurface study of the earth takes into account the model parameters in terms of resistivity and thickness of individual subsurface layers using the trained synthetic data by means of Artificial Neural Networks (ANN). Here we used a single layer feed-forward neural network with fast back propagation learning algorithm. So on proper training of back propagation networks it tends to give the resistivity and thickness of the subsurface layer model of the field resistivity data with reference to the synthetic data trained in the appropriate network. During training, the weights and biases of the network are iteratively adjusted to make network performance function level more efficient. On adequate training, errors are minimized and the best result is obtained using the artificial neural networks. The network is trained with more number of VES data and this trained network is demonstrated by the field data. The accuracy of inversion depends upon the number of data trained. In this novel and specially designed algorithm, the interpretation of the vertical electrical sounding has been done successfully with the more accurate layer model.

  19. 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.

  20. The collaboration of Antoine and Marie-Anne Lavoisier and the first measurements of human oxygen consumption.

    Science.gov (United States)

    West, John B

    2013-12-01

    Antoine Lavoisier (1743-1794) was one of the most eminent scientists of the late 18th century. He is often referred to as the father of chemistry, in part because of his book Elementary Treatise on Chemistry. In addition he was a major figure in respiratory physiology, being the first person to recognize the true nature of oxygen, elucidating the similarities between respiration and combustion, and making the first measurements of human oxygen consumption under various conditions. Less well known are the contributions made by his wife, Marie-Anne Lavoisier. However, she was responsible for drawings of the experiments on oxygen consumption when the French revolution was imminent. These are of great interest because written descriptions are not available. Possible interpretations of the experiments are given here. In addition, her translations from English to French of papers by Priestley and others were critical in Lavoisier's demolition of the erroneous phlogiston theory. She also provided the engravings for her husband's textbook, thus documenting the extensive new equipment that he developed. In addition she undertook editorial work, for example in preparing his posthumous memoirs. The scientific collaboration of this husband-wife team is perhaps unique among the giants of respiratory physiology.

  1. 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

    2016-09-01

    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.

  2. Multi-objective shape optimization of helico-axial multiphase pump impeller based on NSGA-II and ANN

    International Nuclear Information System (INIS)

    In order to improve the prototype's performance of the helico-axial multiphase pump, a multi-objective optimal method for the pump impeller was developed by combining the artificial neural network (ANN) with non-dominated sorting genetic algorithm-II (NSGA-II). The main geometric parameters influencing the impeller's performance were chosen as the optimization variables, and the sample spaces were structured according to the orthogonal experimental design method. Then the pressure rise and efficiency in specific working conditions were obtained about all the elements in the sample space by numerical simulation. With the simulated results as the input specimen, a multiphase pump performance prediction model was designed through BP neural network. With the obtained prediction model as the fitness value evaluation method, the pump impeller was optimized using the NSGA-II multi-objective genetic algorithm, which finally offered an improved impeller structure with enhanced pressure rise and efficiency. Furthermore, five stages of optimized compression cells were manufactured and applied in experiment test. The result shows compared to the original design, the pressure rise of the optimized pump has increased by ∼10% and the efficiency has increased by ∼3%, which is in keeping with our optimal result and confirms our method is feasible.

  3. Early diagnosis of systemic lupus erythmatosus using ANN models of dsDNA binding antibody sequence data.

    Science.gov (United States)

    Bahari, Mohamad Hasan; Mahmoudi, Mahmoud; Azemi, Asad; Mirsalehi, Mir Mojtaba; Khademi, Morteza

    2010-01-01

    In this paper a new method based on artificial neural networks (ANN), is introduced for identifying pathogenic antibodies in Systemic Lupus Erythmatosus (SLE). dsDNA binding antibodies have been implicated in the pathogenesis of this autoimmune disease. In order to identify these dsDNA binding antibodies, the protein sequences of 42 dsDNA binding and 608 non-dsDNA binding antibodies were extracted from Kabat database and encoded using a physicochemical property of their amino acids namely Hydrophilicity. Encoded antibodies were used as the training patterns of a general regression neural network (GRNN). Simulation results show that the accuracy of proposed method in recognizing dsDNA binding antibodies is 83.2%. We have also investigated the roles of the light and heavy chains of anti-dsDNA antibodies in binding to DNA. Simulation results concur with the published experimental findings that in binding to DNA, the heavy chain of anti-dsDNA is more important than their light chain. PMID:21346864

  4. 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

  5. An ANN-Based Synthesis Model for Parallel Coupled Microstrip Lines with Floating Ground-Plane Conductor and Its Applications

    Directory of Open Access Journals (Sweden)

    Yuan Cao

    2016-01-01

    Full Text Available To directly obtain physical dimensions of parallel coupled microstrip lines with a floating ground-plane conductor (PCMLFGPC, an accurate synthesis model based on an artificial neural network (ANN is proposed. The synthesis model is validated by using the conformal mapping technique (CMT analysis contours. Using the synthesis model and the CMT analysis, the PCMLFGPC having equal even- and odd-mode phase velocities can be obtained by adjusting the width of the floating ground-plane conductor. Applying the method, a 7 dB coupler with the measured isolation better than 27 dB across a wide bandwidth (more than 120%, a 90° Schiffman phase shifter with phase deviation ±2.5° and return loss more than 17.5 dB covering 63.4% bandwidth, and a bandpass filter with completely eliminated second-order spurious band are implemented. The performances of the current designs are superior to those of the previous components configured with the PCMLFGPC.

  6. « Break on Through » : Contre-culture, musique et modernité dans les années 1960

    OpenAIRE

    Moore, Ryan

    2014-01-01

    Cet article analyse la musique et le développement de la contre-culture américaine dans le contexte social plus large de la modernité et du modernisme, entre sa naissance après la Seconde Guerre mondiale et son épuisement à la fin des années 1960. Le modernisme américain des années 1960 était caractérisé par un esprit d’innovation et de foi dans le progrès, et la contre-culture exprimait ce sentiment dans ses expérimentations : la recherche de niveaux de conscience plus élevés, de manières de...

  7. 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.

  8. 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...

  9. Les apparences vestimentaires de Louis XV : la composition de la garde-robe du souverain pour l’année 1772

    OpenAIRE

    Marie Chiozzotto

    2012-01-01

    La série de documents comptables provenant de la Garde-robe royale et conservée aux Archives Nationales est une source remarquable et inédite sur la culture vestimentaire curiale de l’époque moderne. L’analyse du corpus concernant l’année 1772 permet de reconstituer le contenu du vestiaire de Louis XV et d’identifier les acteurs de l’apparence royale. Un très grand nombre de pièces, habits habillés, habits-uniformes mais aussi manteaux et robes de chambre est commandé sur l’année. Toutes sont...

  10. Philippe Parmentier (Dir., Recherches et actions en faveur de la réussite en première année universitaire

    Directory of Open Access Journals (Sweden)

    Nicole Rege Colet

    2011-06-01

    Full Text Available L’accompagnement des étudiants universitaires et, en particulier, des étudiants de première année est un axe central des travaux de l’Association internationale de pédagogie universitaire (AIPU. La démocratisation des études universitaires, les enjeux de l’intégration des étudiants de première année, la transition de l’enseignement secondaire à l’enseignement supérieur de même que les comptes rendus de mesures d’accompagnement et de soutien qui favorisent la réussite académique sont autant d...

  11. Modeling the impact of in-cylinder combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using ANN approach

    International Nuclear Information System (INIS)

    Highlights: • Effect of in-cylinder combustion parameters on soot and NOx emissions at rated EGR levels was studied. • ANN model was adopted to predict the emissions under the effect of combustion parameters. • A trainlm ANN with 5-19-17-2 structure denoted MSE equal to 0.0004627 as outperforming model. • Increment of EGR reduced the emissions where the equivalence ratio had contradictory effect. - Abstract: This study examines the effect of in-cylinder combustion parameters on soot and NOx emissions at rated EGR levels by using the data obtained from the CFD implemented code. The obtained data were subsequently used to construct an artificial neural network (ANN) model to predict the soot and NOx productions. To this aim, at three different engine speeds of 2000, 3000 and 4000 rpm, heat release rate, equivalence ratio, turbulence kinetic energy and temperature varied to obtain the relevant soot and NOx data at three EGR levels of 0.2, 0.3 and 0.4. It was discovered that wherein the application of higher EGR rates reduced the NOx as a result of mixture dilution, equivalence ratio increment makes soot production to be increased as well as NOx emission. It was also found that the application of higher EGR from 20% to 40% decreased soot mass fraction in the combustion chamber. Increment of EGR reduced the emissions where the equivalence ratio had contradictory effect on the produced emissions. Various ANN topological configurations and training algorithms were incorporated to yield the optimal solution to the modeling problem applying statistical criteria. Among the four adopted training algorithms of trainlm, trainscg, trainrp, and traingdx, the training function of Levenberg–Marquardt (trainlm) with topological structure of 5-19-17-2 denoted MSE equal to 0.0004627

  12. 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

  13. Kaasaegne kunstiõpetus, uks praegusesse ülevisualiseeritud maailma / Tõnu Talve, Anne Susanna Lindström ; interv. Reet Varblane

    Index Scriptorium Estoniae

    Talve, Tõnu

    2007-01-01

    Soome kunstiõpetaja, Eesti Kunstiakadeemia õpetajate koolituskeskuse dotsent Anne Susanna Lindström ja Keila gümnaasiumi kunstiõpetaja Tõnu Talve Heidelbergi ja Karlsruhe pedagoogikaülikooli organiseeritud kunstiõpetajate maailmakongressist "Horisondid 2007" ning kunstiõpetusest. A. S Lindström tutvustas kongressil Eesti ja Soome kunstiõpetuse ainekavade võrdlev-ajaloolist uuringut ja T. Talve esitles videofilmi "Fragile kunstitund 3"

  14. 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)

  15. Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods

    OpenAIRE

    Okumura, Eiichiro; Kawashita, Ikuo; Ishida, Takayuki

    2014-01-01

    We have been developing a computer-aided detection (CAD) scheme for pneumoconiosis based on a rule-based plus artificial neural network (ANN) analysis of power spectra. In this study, we have developed three enhancement methods for the abnormal patterns to reduce false-positive and false-negative values. The image database consisted of 2 normal and 15 abnormal chest radiographs. The International Labour Organization standard chest radiographs with pneumoconiosis were categorized as subcategor...

  16. [Review Essay of] Jean-Marc Thouvenin and Anne Trebilcock (eds.), Le Droit International Social: Droits Économiques, Sociaux et Culturels, Brussels, Bruylant, 2013

    OpenAIRE

    Schmid, Evelyne

    2014-01-01

    A few years ago, Olivier De Schutter, UN Special Rapporteur on the Right to Food, wrote how the dissemination of the European Social Charter (ESC) through research and teaching would ‘contribute to the building of a more social and inclusive Europe’. Le Droit International Social: Droits Economiques, Sociaux et Culturels, edited by Jean-Marc Thouvenin and Anne Trebilcock, will facilitate this dissemination in the francophone world, and will constitute a valuable tool for all those who intend ...

  17. 基于AnnAGNPS模型四岭水库小流域氮磷流失特征的模拟研究%Simulation of Nitrogen and Phosphorus Loss in Siling Reservoir Watershed with AnnAGNPS

    Institute of Scientific and Technical Information of China (English)

    边金云; 王飞儿; 杨佳; 俞洁; 楼莉萍; 俞丹萍

    2012-01-01

    By using annual agricultural non-point source model(AnnAGNPS),this study simulated the export loading of nitrogen and phosphorus in Siling Reservoir watershed in Tiaoxi Basin,and integrated with the simulation results,the spatial distribution characteristics of non-point source pollution in the watershed was analyzed.The result showed that the export loading of nitrogen and phosphorus had similar characteristics: in the study area,the export loading of nutrients were higher in southern and western regions and lower in northern and eastern regions.Forest land mainly made up of bamboo was the main export source of nitrogen and phosphorus loading with the contribution above 90% of nutrient load of whole watershed.Three fertilization practices such as no fertilizer(CK),site-specific nutrient management(SSNM) and farmers’ fertilizaction practice(FFP) were used in the scenario analysis.The scenario analysis showed that to a certain degree,SSNM could reduce the nitrogen and phosphorus loss.Comparing with FFP,the reduction of SSNM in dissolved nitrogen(DN),particle nitrogen(PN),dissolved phosphorus(DP) and particle phosphorus(PP) was 8.17%,4.33%,9.08% and 1.02%,respectively. 更多%采用流域尺度的农业非点源污染模型——AnnAGNPS模拟预测苕溪流域四岭水库小流域氮磷流失情况,分析氮磷流失空间分布特征.结果表明,单位面积总氮、总磷流失量在空间分布上有一定的相似性,均呈现出南部大于北部,西部高于东部的特点.以竹林地为主的林地是氮磷输出的最主要来源,其对氮、磷流失总量的贡献率在90%以上.设定不施肥处理(CK)、适地养分管理(SSNM)、当地高产竹农普遍采用的施肥方法(FFP)这3种施肥方式对林地主要植被类型竹林进行情景分析,模拟结果表明,与FFP相比,SSNM在一定程度上减少了氮磷输出,其中溶解性氮和颗粒态氮流失量分别削减8.17%、4.33%,溶性磷和

  18. 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 %.

  19. The adventures of Ann: A case study of a kindergarten teacher and her beliefs as she explored integrating science into her literacy curriculum

    Science.gov (United States)

    Potter, Gregory Ralph

    Science education is an often neglected portion of the curriculum in elementary school, particularly in the primary grades. While early childhood educators have many choices in their curricula, two constants remain, literacy and math education. Ideally, young children need science along with literacy and mathematics. This study investigated how one kindergarten teacher used science to enhance her literacy program and how this use of science in her classroom affected her teaching beliefs. The case study took place in a publicly funded early childhood education center devoted to teaching kindergarten children in the small town of Summers in rural northern California. "Ann" was a master kindergarten teacher who historically used developmentally appropriate activities to support her literacy instruction. She was posed with the suggestion of infusing science into her literacy program and over the course of one school year, she was observed planning, implementing, and reflecting on six integrated science and literacy units. Ann's general teaching beliefs as well as her beliefs about teaching literacy and science were explored in order to investigate whether her experience with the integrated science and literacy units had altered her teaching beliefs. It was discovered that not only had Ann significantly changed the way she taught science, her beliefs about teaching science had changed and had moved towards mimicking her pro-active and positive beliefs about teaching literacy.

  20. 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

  1. 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.

  2. Span-to-depth ratio effect on shear strength of steel fiber-reinforced high-strength concrete deep beams using ANN model

    Science.gov (United States)

    Naik, Uday; Kute, Sunil

    2013-12-01

    The paper predicts the shear strength of high-strength steel fiber-reinforced concrete deep beams. It studies the effect of clear span-to-overall depth ratio on shear capacity of steel fiber high-strength deep beams using artificial neural network (ANN8). The three-layered model has eight input nodes which represent width, effective depth, volume fraction, fiber aspect ratio and shear span-to-depth ratio, longitudinal steel, compressive strength of concrete, and clear span-to-overall depth ratio. The model predicts the shear strength of high-strength steel fiber deep beams to be reasonably good when compared with the results of proposed equations by researchers as well as the results obtained by neural network (ANN7) which is developed for seven inputs excluding span-to-depth ratio. The developed neural network ANN8 proves the versatility of artificial neural networks to establish the relations between various parameters affecting complex behavior of steel fiber-reinforced concrete deep beams and costly experimental processes.

  3. 肿瘤标志对肺癌诊断价值PLS-DA和ANN-MPL模型评估%PLS-DA and ANN-MPL models to estimate the diagnostic value of four serum tumor markers for lung cancer

    Institute of Scientific and Technical Information of China (English)

    田刚; 周明术; 杭永伦; 王开正; 刘靳波

    2014-01-01

    目的:探讨联合检测血清癌胚抗原(carcinoembryonic,CEA)、神经元特异性烯醇化酶(neuron specific enolase,NSE)、细胞角蛋白19片段(cyfra 21-1)和CA125对肺癌的诊断价值.方法:应用电化学发光免疫分析法,测定2010-01-19-2012-12-24泸州医学院附属医院病理或细胞学确诊70例肺癌和54例肺部其他良性疾病患者血清中CEA、NSE、cy-fra21-1和CA125,结合主成分分析(principal component analysis,PCA)法、受试者工作特征曲线(receive operating char-acteristic curve,ROC)、偏最小二乘判别分析(partial-least-squares discriminant analysis,PLS-DA)线性模型和人工神经网络多层感知(artificial neural network-multiplayer perceptron,ANN-MPL)非线性模型对CEA、NSE、cyfra21-1和CA125进行建模分析.结果:肺癌组血清CEA、NSE、cyfra21-1和CA125水平均高于对照组.肺癌组血清中CEA、NSE和cy-fra21-1水平显著升高,差异有统计学意义,P<0.05.PCA模型中肺癌组个体空间分布较分散,而对照组则能较好地聚类,2组个体有分离趋势.PLS-DA模型能够很好地鉴别肺癌组和对照组,P<0.01;具有100%的灵敏度、96.3%的特异性、98.4%的准确性和97.7%的预测能力.ROC曲线分析显示,CEA、cyfra21-1、NSE和CA125的ROC曲线下面积(ar-ea under the curve,AUC)分别为0.787(P<0.05)、0.784(P<0.05)、0.563(P<0.05)和0.503(P=0.59).在ANN-MPL-ROC曲线模型中,联合检测CEA和cyfra21-1的AUC为0.849,均优于单一的肿瘤标志,具有74.3%的灵敏度、76.0%的特异性,75.9%准确性和75.0%的预测能力,P<0.05.联合CEA、NSE、cyfra21-1和CA125的AUC为0.880,灵敏度为84.3%,特异性为76.0%,具有80.6%准确性和82.5%的预测能力.结论:ANN-MPL的ROC模型中联合检测血清CEA、NSE、cyfra21-1和CA125与联合检测CEA和cyfra21-1相比灵敏度略有升高而特异性不变,2种模型的诊断效能相当.从经济和临床应用价值考

  4. Le rôle politique des revues conservatrices aux Etats-Unis depuis les années 1980

    Directory of Open Access Journals (Sweden)

    Marie-Cécile Naves

    2004-09-01

    Full Text Available L’article vise à étudier, à travers l’exemple de la théorie de la « Fin de l’Histoire » de Fukuyama, en quoi la revue américaine The National Interest est, à l’instar d’autres revues conservatrices, un instrument médiatique crucial pour la diffusion de certains idéaux du Parti Républicain aux Etats-Unis depuis le milieu des années 1980. Il s’agit par là même de réfléchir aux conditions de production et de diffusion de cette théorie, dans un contexte géopolitique et intellectuel exceptionnel, celui de la fin de la guerre froide. L’évolution des liens entre intellectuels et pouvoir politique américains, avec pour enjeu, depuis le début des années 1980, la politique étrangère, sont au cœur de cette réflexion.El artículo intenta estudiar a través del ejemplo de la teoría del « Fin de la Historia » de Fukuyama, hasta que punto la revista americana The National Interest es, a semejanza de otras revistas conservadoras, un instrumento crucial para la difusión de algunos ideales del partido republicano en los estados Unidos desde mediados de los años ochenta. Se trata de reflexionar sobre las condiciones de producción y de difusión de esta teoría, en un contexto geopolítico e intelectual excepcional, el del final de la guerra fría. El centro de esta reflexión es la evolución de las relaciones entre los intelectuales y el poder político americano, teniendo como telón de fondo, la política exterior.The article aims at studying, through the example of Fukuyama’s theory of the « End of History », how the American journal The National Interest, as other conservative journals, has, since the mid 1980s, been a crucial media instrument for the dissemination of some ideals of the Republican Party. We have thus to think about the conditions of production and dissemination of this theory in an exceptional geopolitical and intellectual context – the end of the cold war. The changing links between

  5. Analytic Formulae for Concrete Mix Design Based on Experimental Data Base and Predicting the Concrete Behavior Using ANN Technique

    Directory of Open Access Journals (Sweden)

    Mostafa A. M. Abdeen

    2010-12-01

    Full Text Available The Local Egyptian practice in producing concrete for different structural applications is based on the known properties of cement. Cement has been produced locally under the Egyptian standards ES 372, 373 and 584 for ordinary, rapid hardening and sulphate resisting types. In 2007, the Egyptian standards issued ES 4756 that adopted the European standard EN 197 for producing cement. This resulted in new types of cements to replace the types that local construction companies used to apply for decades. Many doubts appeared about whether the rules applied for concrete mix proportioning are still valid. In the current research, an experimental investigation of concrete properties is made using two of the locally most common types of cements CEM I 32.5 R & CEM I 42.5 N. Slump, compressive strength, rebound number and ultrasonic pulse velocities were investigated for 64 mixes. The main parameters were type of cement, cement content, water content, and fine/coarse aggregate ratio. Data base was established for the mix proportions and corresponding properties. Analytic formulae are proposed for utilizing the collected data base for concrete mix design. Also, using the experimental data base presented in the current study, numerical approach, using one of the artificial intelligence techniques, is adopted to simulate the concrete behavior for different mix proportions. Artificial Neural Network (ANN technique is developed in the present work to simulate the concrete slump and concrete compressive strength for different mix proportions at different ages for the two types of cement and then predict the concrete behavior for different mix proportions at ages rather than those investigated in the experimental work.

  6. 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"

  7. 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

  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. 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

  10. Uurimisreisi alkeemia / Anneli Porri

    Index Scriptorium Estoniae

    Porri, Anneli, 1980-

    2002-01-01

    Eesti Kunstiakadeemia tudengite soome-ugri uurimisreisidest, mille eesmärk on leida ning jäädvustada erinevate soome-ugri rahvaste rahvakunsti. Projekti algatas professor Kalju Põllu 1978.a., 1994. aastast juhib uurimisreise Kadri Viires.

  11. Põhjamaise taskuteatmik / Anneli Porri

    Index Scriptorium Estoniae

    Porri, Anneli, 1980-

    2005-01-01

    Põhjamaade Ministrite Nõukogu Sleipniri stipendiaatide tööde näitus "Põhjamaine tunnetus" Eesti Rahva Muuseumis 14. I-27. II Tartu kunstikuu raames. Kuraator Jaak Visnap. Minna Hindi seeriast "Rannastseenid"

  12. 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

  13. 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

  14. 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

  15. 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

  16. Graafikute dialoog / Anne Lõugas

    Index Scriptorium Estoniae

    Lõugas, Anne, 1951-

    1999-01-01

    Eesti graafiku Evi Tihemetsa näitus Kastellaanimajas ja soome graafiku Ulla Virta näitus galeriis "Vaal". U. Virta on pälvinud Soome parima puulõiketehnika valdaja tiitli. Tihemetsa ja Virta kunsti võrdlus.

  17. 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

  18. Prediction of high spatio-temporal resolution land surface temperature under cloudy conditions using microwave vegetation index and ANN

    Science.gov (United States)

    Shwetha, H. R.; Kumar, D. Nagesh

    2016-07-01

    Land Surface Temperature (LST) with high spatio-temporal resolution is in demand for hydrology, climate change, ecology, urban climate and environmental studies, etc. Moderate Resolution Imaging Spectroradiometer (MODIS) is one of the most commonly used sensors owing to its high spatial and temporal availability over the globe, but is incapable of providing LST data under cloudy conditions, resulting in gaps in the data. In contrast, microwave measurements have a capability to penetrate under clouds. The current study proposes a methodology by exploring this property to predict high spatio-temporal resolution LST under cloudy conditions during daytime and nighttime without employing in-situ LST measurements. To achieve this, Artificial Neural Networks (ANNs) based models are employed for different land cover classes, utilizing Microwave Polarization Difference Index (MPDI) at finer resolution with ancillary data. MPDI was derived using resampled (from 0.25° to 1 km) brightness temperatures (Tb) at 36.5 GHz channel of dual polarization from Advance Microwave Scanning Radiometer (AMSR)-Earth Observing System and AMSR2 sensors. The proposed methodology is tested over Cauvery basin in India and the performance of the model is quantitatively evaluated through performance measures such as correlation coefficient (r), Nash Sutcliffe Efficiency (NSE) and Root Mean Square Error (RMSE). Results revealed that during daytime, AMSR-E(AMSR2) derived LST under clear sky conditions corresponds well with MODIS LST resulting in values of r ranging from 0.76(0.78) to 0.90(0.96), RMSE from 1.76(1.86) K to 4.34(4.00) K and NSE from 0.58(0.61) to 0.81(0.90) for different land cover classes. During nighttime, r values ranged from 0.76(0.56) to 0.87(0.90), RMSE from 1.71(1.70) K to 2.43(2.12) K and NSE from 0.43(0.28) to 0.80(0.81) for different land cover classes. RMSE values found between predicted LST and MODIS LST during daytime under clear sky conditions were within acceptable

  19. Prediction of subcooled vapor pressures (log PL) of 399 polychlorinated trans-azoxybenzenes by using the QSPR and ANN approach.

    Science.gov (United States)

    Piliszek, Sławomir; Wilczyńska-Piliszek, Agata J; Falandysz, Jerzy

    2012-01-01

    Environmentally relevant partitioning properties such as the sub-cooled vapor pressures (log PL) have been predicted for 399 congeners of chloro-trans-azoxybenzene (C-t-AOBs) by two computational methods. The quantitative structure-property relationship (QSPR), an approach which is based on geometry optimalization and quantum-chemical structural descriptors in RM1 and DFT methods and artificial neural networks (ANNs), an approach that predicts abilities that give similar results of estimated log P(L) and the accuracy of the methods was also similar. The RM1 method was less time consuming and less costly compared to calculations by the DFT method. Estimated from the RM1 and DFT methods of log P(L) values of 399 Ct-AOBs varied between -1.98 to -0.93 and -1.83 to -0.79 for Mono-, 3.12 to -1.46 and -3.00 to -1.46 for Di-, -4.03 to -1.39 and -3.53 to -1.67 for Tri-, -4.75 to -2.33 and -4.59 to -1.91 for Tetra-, -5.37 to -2.59 and -5.42 to -2.09 for Penta-, -5.82 to -2.88 and -5.66 to -2.58 for Hexa-, -5.88 to -3.24 and -5.60 to -2.93 for Hepta-, -6.28 to -4.33 and -5.60 to -4.29 for Octa-, -6.54 to -5.28 and -5.66 to -4.93 for NonaCt-AOBs, and -6.59 and -5.61 for DecaCt-AOB. According to a common classification of environmental contaminants and by sub-cooled vapor pressure values, MonoCt-AOBs and a few of the Di- and TriCt-AOBs (log P(L)from -2 to 0) fall into the group of compounds that are relatively well mobile in the ambient environment, while most of the Di- to HeptaCt-AOBs (log P(L) log P(L) < -4) are also weak mobile contaminants.

  20. 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

  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. PMID:21350755

  2. Statistical analysis and ANN modeling for predicting hydrological extremes under climate change scenarios: the example of a small Mediterranean agro-watershed.

    Science.gov (United States)

    Kourgialas, Nektarios N; Dokou, Zoi; Karatzas, George P

    2015-05-01

    The purpose of this study was to create a modeling management tool for the simulation of extreme flow events under current and future climatic conditions. This tool is a combination of different components and can be applied in complex hydrogeological river basins, where frequent flood and drought phenomena occur. The first component is the statistical analysis of the available hydro-meteorological data. Specifically, principal components analysis was performed in order to quantify the importance of the hydro-meteorological parameters that affect the generation of extreme events. The second component is a prediction-forecasting artificial neural network (ANN) model that simulates, accurately and efficiently, river flow on an hourly basis. This model is based on a methodology that attempts to resolve a very difficult problem related to the accurate estimation of extreme flows. For this purpose, the available measurements (5 years of hourly data) were divided in two subsets: one for the dry and one for the wet periods of the hydrological year. This way, two ANNs were created, trained, tested and validated for a complex Mediterranean river basin in Crete, Greece. As part of the second management component a statistical downscaling tool was used for the creation of meteorological data according to the higher and lower emission climate change scenarios A2 and B1. These data are used as input in the ANN for the forecasting of river flow for the next two decades. The final component is the application of a meteorological index on the measured and forecasted precipitation and flow data, in order to assess the severity and duration of extreme events.

  3. 基于神经网络的数控插补容错技术%ANN-based Fault Tolerance of CNC Interpolation

    Institute of Scientific and Technical Information of China (English)

    王义强; 袁修华; 马明阳; 胡艳娟

    2011-01-01

    Artificial neural network (ANN) and fuzzy math were introduced to the design filed of CNC software for realizing the fault tolerance of CNC interpolation and improving the reliability of software. In addition, function aspects ( velocity, acceleration, chord error, prediction accuracy, fault tolerance, real time ) from the experiment on non-uniform rational B-spline ( NURBS) interpolator based on ANN were evaluated in detail. The experimental results show that the NURBS interpolation based on ANN can not only meet the requirements of the function aspects, but also realize the fault tolerance of CNC interpolation, which may provide a new strategy in the improvement of the reliability of CNC software.%提出将神经网络和模糊数学应用到数控系统软件设计领域,以实现数控插补容错技术,提高软件可靠性.为了验证该方法的可行性,对基于神经网络的NURBS插补模块进行了实验研究,并对速度、加速度、插补精度、神经网络预测精度、容错和实时性等方面进行了分析.实验结果表明,基于神经网络的插补模块在保证加工要求的前提下实现了数控插补软件容错技术,为提高数控系统软件的可靠性提供了新的途径.

  4. Desmontando el concepto androcéntrico de ciudadanía : reflexiones desde las sugestivas propuestas de Anne Phillips, Iris M. Young y Chantal Mouffe

    OpenAIRE

    Guichot Reina, Virginia

    2012-01-01

    El tema de la ciudadanía ha sido ampliamente abordado por quizá uno de los principales movimientos político-sociales del siglo anterior y probablemente también de este Tercer Milenio. No en vano hay quien ha denominado la pasada centuria como “El Siglo de la Mujer”. Nos referimos al feminismo que, además de movimiento social, es una filosofía política. En este trabajo exponemos las críticas al concepto androcéntrico de ciudadanía han realizado tres filósofas contemporáneas, Ann...

  5. Circuit Design of a Reconfigurable ANN with GA Training%采用遗传算法的一种可重构ANN的电路设计

    Institute of Scientific and Technical Information of China (English)

    卢纯; 石秉学

    2001-01-01

    A novel sigmoid function generator is proposed.It is not only simple,fast,fit quite well with the ideal sigmoid function,but also programmable for the threshold and the gain factor.Thus,the neuron has wide application area and good prospect.Basic cells of the neural networks including the neuron,Gilbert multiplier,digital memory,D/A converter are designed.The benefit of Genetic Algorithm (GA) as an algorithm of the ANN is explained.A reconfigurable ANN composed of the above cells is designed,using GA as the training algorithm.The cells and the whole ANN are simulated with HSPICE,using level 47 transistor models for a standard 1.2μm CMOS process.Simulation results show that they all operate correctly and excellently.%提出了一种新型的sigmoid函数发生器.它不仅简单、快速,与理想sigmoid函数的拟合程度好,而且可实现阈值和增益因子的编程,因而有很大的应用范围和良好的应用前景.设计了神经元以及Gilbert乘法器、数字存储器、D/A转换器等神经网络的基本单元.说明了遗传算法(GA)作为人工神经网络(ANN)学习算法的有利因素.利用上述电路,采用GA,设计了可重构ANN.对各单元电路和整个ANN都用标准1.2μm CMOS工艺的第47级模型进行了HSPICE模拟.结果表明它们的功能正确、性能优良.

  6. 探《愚人船》之对话与癫狂%On Dialogue and Madness of Catherine Anne Potter’s Ship of Fools

    Institute of Scientific and Technical Information of China (English)

    邓红花; 李海涛

    2014-01-01

    凯瑟琳•安•波特用平淡的语言叙述了《愚人船》中愚人随船漂流无以为家的末日景象。本文从对话与癫狂两个角度探讨了凯瑟琳•安•波特《愚人船》中人人对立的“愚人”主题。%Catherine Anne Potter’s ship of fools describes the human predicament with plain language. The paper discusses its theme of fools’ opposition with each other in the aspects of dialogue and madness.

  7. The Application of ANN to Prediction of Airborne Gun Fault%ANN方法在机载航炮故障预测中的应用

    Institute of Scientific and Technical Information of China (English)

    赵思宏

    2004-01-01

    通过统计分析,选取与航炮故障发生程度显著相关的发射炮弹数作为预报因子,并结合对航炮故障发生率序列进行拓展,采用人工神经网络(ANN)的BP网络模型进行预报航炮故障的初步试验,取得了满意的效果.

  8. ANN-GA model of 12Cr13 martensitic stainless steel heat treatment technological parameter%12Cr13马氏体不锈钢热处理工艺参数的ANN-GA模型

    Institute of Scientific and Technical Information of China (English)

    丁贝; 于军辉; 李颜

    2013-01-01

    12Cr13马氏体不锈钢淬火和回火工艺参数对其力学性能影响较大,测定其热处理工艺对力学性能的影响周期长且成本高.在神经网络与遗传算法基础上建立12Cr13马氏体不锈钢热处理工艺参数与力学性能的预测模型.模型输入单元为淬火温度、淬火保温时间、冷却方式及回火温度,输出单元为抗拉强度、屈服强度、延伸率及断面收缩率.采用Traincgf算法的神经网络收敛速度快,误差小.隐含层节点单元为6,动量因子为0.6,学习速率为0.2时,网络测试的均方误差值均最小.经过网络测试的抗拉强度、屈服强度、延伸率及断面收缩率的最大相对误差绝对值分别为3.24%,2.48%,9.45%和8.82%.12Cr13马氏体不锈钢的预测模型具有结构简单,拟合精度高的特点.可利用12Cr13马氏体不锈钢热处理工艺参数预测其力学性能,为工艺优化设计提供参考.%The quenching and tempering technological parameters of 12Cr13 martensitic stainless steel have great influence on its mechanical properties,the period is long and cost is high to determine the influence of its heat treatment process on mechanical properties.The predictive model of 12Cr13 martensitic stainless steel heat treatment technological parameter and mechanical properties was established on the basis of artificial neural network(ANN) and genetic algorithm(GA).The model input unit has quenching temperature,holding time,cooling way and tempering temperature,output unit has tensile strength,yield strength,elongation rate and reduction of area.The neural network adopting Traincgf algorithm convergence speed is fast and error is small.When concealed layer node unit is 6,momentum factor is 0.6,learning rate is 0.2,the mean square error value of network measurement is all minimum.The maximum relative error absolute value of tensile strength,yield strength,elongation rate and reduction of area tested with network is 3.24%,2.48%,9.45

  9. 《岛》中安娜的悲剧命运——精神分析视角下安娜的自我毁灭之路%On the Tragic Fate of Anne in The Island——Anne's Death from the Perspective of Freud Psychoanalysis

    Institute of Scientific and Technical Information of China (English)

    李光明

    2015-01-01

    《岛》是现代英国著名女作家维多利亚·希普洛普的成名之作,小说采用倒叙的写作手法,向我们展现了20世纪中期,在麻风病肆虐下希腊普通民众的生存现状.其中安娜这一人物形象颇具争议.文章试图通过弗洛伊德的精神分析法,深度剖析安娜的内心世界,探讨"本我"、"自我"以及"超我"在安娜身上的体现,从而说明安娜的自我毁灭之路.%The Island is Victoria Hislop's first masterpiece which brought her great fame. With complicated plots and employment of flashback, the novel demonstrates the situation of Greek people in the middle 20th century who fought hard against the fatal lepriasis, their death or life separation and their love or hatred. And among them, Anne is the most disputed character in this novel. Based on the theory of Freud psychoanalysis, this paper is trying to deeply analyze Anne's inner activity to discuss her "id", "ego" and "superego"and finally explain the reasons of Anne's self-destruction.

  10. Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests

    Science.gov (United States)

    Wang, Fuzeng; Zhao, Jun; Zhu, Ningbo

    2016-09-01

    The flow behavior of Ti-6Al-4V alloy was studied by automated ball indentation (ABI) tests in a wide range of temperatures (293, 493, 693, and 873 K) and strain rates (10-6, 10-5, and 10-4 s-1). Based on the experimental true stress-plastic strain data derived from the ABI tests, the Johnson-Cook (JC), Khan-Huang-Liang (KHL) and modified Zerilli-Armstrong (ZA) constitutive models, as well as artificial neural network (ANN) methods, were employed to predict the flow behavior of Ti-6Al-4V. A comparative study was made on the reliability of the four models, and their predictability was evaluated in terms of correlation coefficient (R) and mean absolute percentage error. It is found that the flow stresses of Ti-6Al-4V alloy are more sensitive to temperature than strain rate under current experimental conditions. The predicted flow stresses obtained from JC model and KHL model show much better agreement with the experimental results than modified ZA model. Moreover, the ANN model is much more efficient and shows a higher accuracy in predicting the flow behavior of Ti-6Al-4V alloy than the constitutive equations.

  11. La influencia de Abraham Cohen de Herrera en la Filosofía Natural del siglo XVII: su impronta en los Principia Philosophiae de Anne Conway

    Directory of Open Access Journals (Sweden)

    Matzkevich, Hernán

    2015-12-01

    Full Text Available Natural Philosophy of the 17th Century shares traits of hermetic-cabalistic mysticism and neoplatonism of the 16th Century. Works presenting this legacy, far from representing isolated cases, constitute the intelectual magma in which many of the debates which signed modern science were gestated. One of the paradigmatic representation of this stream is Anne Conway, who in her Principia Philosophiae attacks the Cartesian mechanism and dualism, supporting herself in monistic and espiritualistic doctrins of the matter that she takes directly from Isaac Luria´s cabalistic tradition represented by Abraham Cohen de Herrera and his Puerta del Cielo.La filosofía natural del siglo XVII comparte con el pensamiento del XVI rasgos de misticismo hermético-cabalístico y neoplatonismo. Las obras que presentan este legado, lejos de representar accidentes o casos aislados, constituyen el magma intelectual en el cual se gestaron muchos de los debates que signaron a la ciencia moderna. Representante paradigmática de esta corriente es Anne Conway, quien en sus Principia Philosophiae realiza un ataque al mecanicismo y al dualismo de cuño cartesiano apoyándose en doctrinas emanantistas, monistas y espiritualistas de la materia que toma directamente de la tradición cabalística luriánica representada por Abraham Cohen de Herrera y su Puerta del Cielo.

  12. The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C. I. Basic Yellow 28 by electrocoagulation process

    Energy Technology Data Exchange (ETDEWEB)

    Daneshvar, N. [Water and Wastewater Treatment Research Laboratory, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz (Iran, Islamic Republic of)]. E-mail: nezam_daneshvar@yahoo.com; Khataee, A.R. [Water and Wastewater Treatment Research Laboratory, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz (Iran, Islamic Republic of)]. E-mail: ar_khataee@yahoo.com; Djafarzadeh, N. [Water and Wastewater Treatment Research Laboratory, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz (Iran, Islamic Republic of)]. E-mail: n.jafarzadeh@gmail.com

    2006-10-11

    In this paper, electrocoagulation has been used for removal of color from solution containing C. I. Basic Yellow 28. The effect of operational parameters such as current density, initial pH of the solution, time of electrolysis, initial dye concentration, distance between the electrodes, retention time and solution conductivity were studied in an attempt to reach higher removal efficiency. Our results showed that the increase of current density up to 80 A m{sup -2} enhanced the color removal efficiency, the electrolysis time was 7 min and the range of pH was determined 5-8. It was found that for achieving a high color removal percent, the conductivity of the solution and the initial concentration of dye should be 10 mS cm{sup -1} and 50 mg l{sup -1}, respectively. An artificial neural networks (ANN) model was developed to predict the performance of decolorization efficiency by EC process based on experimental data obtained in a laboratory batch reactor. A comparison between the predicted results of the designed ANN model and experimental data was also conducted. The model can describe the color removal percent under different conditions.

  13. 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.

  14. 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.

  15. Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells.

    Science.gov (United States)

    Yetilmezsoy, Kaan; Demirel, Sevgi

    2008-05-30

    A three-layer artificial neural network (ANN) model was developed to predict the efficiency of Pb(II) ions removal from aqueous solution by Antep pistachio (Pistacia Vera L.) shells based on 66 experimental sets obtained in a laboratory batch study. The effect of operational parameters such as adsorbent dosage, initial concentration of Pb(II) ions, initial pH, operating temperature, and contact time were studied to optimise the conditions for maximum removal of Pb(II) ions. On the basis of batch test results, optimal operating conditions were determined to be an initial pH of 5.5, an adsorbent dosage of 1.0 g, an initial Pb(II) concentration of 30 ppm, and a temperature of 30 degrees C. Experimental results showed that a contact time of 45 min was generally sufficient to achieve equilibrium. After backpropagation (BP) training combined with principal component analysis (PCA), the ANN model was able to predict adsorption efficiency with a tangent sigmoid transfer function (tansig) at hidden layer with 11 neurons and a linear transfer function (purelin) at output layer. The Levenberg-Marquardt algorithm (LMA) was found as the best of 11 BP algorithms with a minimum mean squared error (MSE) of 0.000227875. The linear regression between the network outputs and the corresponding targets were proven to be satisfactory with a correlation coefficient of about 0.936 for five model variables used in this study.

  16. The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C. I. Basic Yellow 28 by electrocoagulation process

    International Nuclear Information System (INIS)

    In this paper, electrocoagulation has been used for removal of color from solution containing C. I. Basic Yellow 28. The effect of operational parameters such as current density, initial pH of the solution, time of electrolysis, initial dye concentration, distance between the electrodes, retention time and solution conductivity were studied in an attempt to reach higher removal efficiency. Our results showed that the increase of current density up to 80 A m-2 enhanced the color removal efficiency, the electrolysis time was 7 min and the range of pH was determined 5-8. It was found that for achieving a high color removal percent, the conductivity of the solution and the initial concentration of dye should be 10 mS cm-1 and 50 mg l-1, respectively. An artificial neural networks (ANN) model was developed to predict the performance of decolorization efficiency by EC process based on experimental data obtained in a laboratory batch reactor. A comparison between the predicted results of the designed ANN model and experimental data was also conducted. The model can describe the color removal percent under different conditions

  17. Application of Artificial Neural Network (ANN in Estimation of Body Mass Index (BMI Based on the Connection Between Environmental Factors and Physical Activity

    Directory of Open Access Journals (Sweden)

    Seyed Hosein Hoseini

    2012-08-01

    Full Text Available One of the main concerns of people in modern societies is increasing the Body Mass Index (BMI level.BMI, in fact, can be considered as an indicator of overall health condition. Genetic aspects aside, the BMIlevel is affected by different factors, such as socio-economic, environmental, and physical activity level.This study investigated the effect of different factors on the BMI level of a sample population of 470 adultsof three residential neighbourhoods in Shiraz, Iran. The Pearson correlation test, independent sample Ttest and One Way ANOVA were used to extract the variables which significantly influenced the BMI. Thestatistical analysis showed that despite the apparent association of BMI with physical activity level, it isinfluenced by several factors such as age, residence record, number of children, distance to bus or taxistop, indoor or sport exercise. Then, an Artificial Neural Network (ANN was applied to predict the level ofpersonal BMI. The results of this analysis showed that the generalized estimating ANN model wassatisfactory in estimating the BMI based on the introduced pattern

  18. Application of Artificial Neural Network (ANN in Estimation of Body Mass Index (BMI Based on the Connection Between Environmental Factors and Physical Activity

    Directory of Open Access Journals (Sweden)

    Seyed Hosein Hoseini

    2012-07-01

    Full Text Available One of the main concerns of people in modern societies is increasing the Body Mass Index (BMI level. BMI, in fact, can be considered as an indicator of overall health condition. Genetic aspects aside, the BMI level is affected by different factors, such as socio-economic, environmental, and physical activity level. This study investigated the effect of different factors on the BMI level of a sample population of 470 adults of three residential neighbourhoods in Shiraz, Iran. The Pearson correlation test, independent sample Ttest and One Way ANOVA were used to extract the variables which significantly influenced the BMI. The statistical analysis showed that despite the apparent association of BMI with physical activity level, it is influenced by several factors such as age, residence record, number of children, distance to bus or taxi stop, indoor or sport exercise. Then, an Artificial Neural Network (ANN was applied to predict the level of personal BMI. The results of this analysis showed that the generalized estimating ANN model was satisfactory in estimating the BMI based on the introduced pattern.

  19. Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells.

    Science.gov (United States)

    Yetilmezsoy, Kaan; Demirel, Sevgi

    2008-05-30

    A three-layer artificial neural network (ANN) model was developed to predict the efficiency of Pb(II) ions removal from aqueous solution by Antep pistachio (Pistacia Vera L.) shells based on 66 experimental sets obtained in a laboratory batch study. The effect of operational parameters such as adsorbent dosage, initial concentration of Pb(II) ions, initial pH, operating temperature, and contact time were studied to optimise the conditions for maximum removal of Pb(II) ions. On the basis of batch test results, optimal operating conditions were determined to be an initial pH of 5.5, an adsorbent dosage of 1.0 g, an initial Pb(II) concentration of 30 ppm, and a temperature of 30 degrees C. Experimental results showed that a contact time of 45 min was generally sufficient to achieve equilibrium. After backpropagation (BP) training combined with principal component analysis (PCA), the ANN model was able to predict adsorption efficiency with a tangent sigmoid transfer function (tansig) at hidden layer with 11 neurons and a linear transfer function (purelin) at output layer. The Levenberg-Marquardt algorithm (LMA) was found as the best of 11 BP algorithms with a minimum mean squared error (MSE) of 0.000227875. The linear regression between the network outputs and the corresponding targets were proven to be satisfactory with a correlation coefficient of about 0.936 for five model variables used in this study. PMID:17980484

  20. Anne von Streit: Entgrenzter Alltag – Arbeiten ohne Grenzen? Das Internet und die raum-zeitlichen Organisationsstrategien von Wissensarbeitern. Bielefeld: transcript Verlag 2011.

    Directory of Open Access Journals (Sweden)

    Tanja M. Brinkmann

    2012-05-01

    Full Text Available Anne von Streit geht in dieser Veröffentlichung ihrer Dissertation der Fragestellung nach, wie sich die räumlich und zeitlich flexibilisierten Arbeitsbedingungen auf die Alltagsgestaltung von selbständigen Frauen und Männern in der Internetbranche auswirken. Als Geographin geht es ihr dabei nicht nur um zeitliche, sondern auch um räumliche Entgrenzungsprozesse. Diese teildisziplinäre Grenzüberschreitung liefert einige Erkenntnisse. In der durchaus geschlechtersensiblen Studie mit einem komplexen, vorwiegend qualitativen Design kann die Autorin aus geschlechterbezogener Perspektive sowohl deutliche Unterschiede wie auch Homogenitäten zwischen den Geschlechtern nachweisen. Dieses genauer auszubuchstabieren und zu begründen, bleibt sie jedoch weitgehend schuldig.In this published dissertation, Anne von Streit considers the question of how the flexibilization of spatial and temporal working conditions of self-employed women and men in the internet industry affects their daily routine. As a geographer, she is not only interested in temporal, but also in spatial processes of debordering. This subdisciplinary border crossing leads to several insights. In this, indeed gender-sensitive, study with a complex and mainly qualitative design, the author is able to prove, from a gender-related perspective, both striking differences and homogeneities between the genders. However, she largely fails to explain and spell this out in more detail.

  1. Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model

    International Nuclear Information System (INIS)

    Outcomes from a diversity of models need to be deliberated by policy makers of developing countries to evaluate the methods of the decision-making. Various energy models have been employed in energy studies. These models include IDA (index decomposition analysis), ANN (artificial neural network) and DEA (data envelopment analysis). This paper presents a technique based on the strengths of the mentioned energy models to assist policy makers and stakeholders in industrial energy management. Changes in energy consumption patterns can be attributed to three factors, i.e. activity, structure and intensity effects. Our investigation is based on these factors. The study successfully combines IDA, ANN and DEA for an appraisal of energy consumption of 11 energy intensive industrial sectors of South Africa between 1971 and 2008 for possible industrial energy saving. - Highlights: • Energy specific to developing countries pose challenges to energy policy modelers. • The research contributes to a better analysis of energy use in an integrated model. • The integrated model relies on activity, structure and intensity as inputs

  2. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?

    Science.gov (United States)

    Balabin, Roman M; Lomakina, Ekaterina I

    2011-06-28

    A multilayer feed-forward artificial neural network (MLP-ANN) with a single, hidden layer that contains a finite number of neurons can be regarded as a universal non-linear approximator. Today, the ANN method and linear regression (MLR) model are widely used for quantum chemistry (QC) data analysis (e.g., thermochemistry) to improve their accuracy (e.g., Gaussian G2-G4, B3LYP/B3-LYP, X1, or W1 theoretical methods). In this study, an alternative approach based on support vector machines (SVMs) is used, the least squares support vector machine (LS-SVM) regression. It has been applied to ab initio (first principle) and density functional theory (DFT) quantum chemistry data. So, QC + SVM methodology is an alternative to QC + ANN one. The task of the study was to estimate the Møller-Plesset (MPn) or DFT (B3LYP, BLYP, BMK) energies calculated with large basis sets (e.g., 6-311G(3df,3pd)) using smaller ones (6-311G, 6-311G*, 6-311G**) plus molecular descriptors. A molecular set (BRM-208) containing a total of 208 organic molecules was constructed and used for the LS-SVM training, cross-validation, and testing. MP2, MP3, MP4(DQ), MP4(SDQ), and MP4/MP4(SDTQ) ab initio methods were tested. Hartree-Fock (HF/SCF) results were also reported for comparison. Furthermore, constitutional (CD: total number of atoms and mole fractions of different atoms) and quantum-chemical (QD: HOMO-LUMO gap, dipole moment, average polarizability, and quadrupole moment) molecular descriptors were used for the building of the LS-SVM calibration model. Prediction accuracies (MADs) of 1.62 ± 0.51 and 0.85 ± 0.24 kcal mol(-1) (1 kcal mol(-1) = 4.184 kJ mol(-1)) were reached for SVM-based approximations of ab initio and DFT energies, respectively. The LS-SVM model was more accurate than the MLR model. A comparison with the artificial neural network approach shows that the accuracy of the LS-SVM method is similar to the accuracy of ANN. The extrapolation and interpolation results show that LS-SVM is

  3. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?

    Science.gov (United States)

    Balabin, Roman M; Lomakina, Ekaterina I

    2011-06-28

    A multilayer feed-forward artificial neural network (MLP-ANN) with a single, hidden layer that contains a finite number of neurons can be regarded as a universal non-linear approximator. Today, the ANN method and linear regression (MLR) model are widely used for quantum chemistry (QC) data analysis (e.g., thermochemistry) to improve their accuracy (e.g., Gaussian G2-G4, B3LYP/B3-LYP, X1, or W1 theoretical methods). In this study, an alternative approach based on support vector machines (SVMs) is used, the least squares support vector machine (LS-SVM) regression. It has been applied to ab initio (first principle) and density functional theory (DFT) quantum chemistry data. So, QC + SVM methodology is an alternative to QC + ANN one. The task of the study was to estimate the Møller-Plesset (MPn) or DFT (B3LYP, BLYP, BMK) energies calculated with large basis sets (e.g., 6-311G(3df,3pd)) using smaller ones (6-311G, 6-311G*, 6-311G**) plus molecular descriptors. A molecular set (BRM-208) containing a total of 208 organic molecules was constructed and used for the LS-SVM training, cross-validation, and testing. MP2, MP3, MP4(DQ), MP4(SDQ), and MP4/MP4(SDTQ) ab initio methods were tested. Hartree-Fock (HF/SCF) results were also reported for comparison. Furthermore, constitutional (CD: total number of atoms and mole fractions of different atoms) and quantum-chemical (QD: HOMO-LUMO gap, dipole moment, average polarizability, and quadrupole moment) molecular descriptors were used for the building of the LS-SVM calibration model. Prediction accuracies (MADs) of 1.62 ± 0.51 and 0.85 ± 0.24 kcal mol(-1) (1 kcal mol(-1) = 4.184 kJ mol(-1)) were reached for SVM-based approximations of ab initio and DFT energies, respectively. The LS-SVM model was more accurate than the MLR model. A comparison with the artificial neural network approach shows that the accuracy of the LS-SVM method is similar to the accuracy of ANN. The extrapolation and interpolation results show that LS-SVM is

  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. Jean Painlevé et la promotion du cinéma scientifique en France dans les années trente

    OpenAIRE

    Hamery, Roxane

    2011-01-01

    Le nom de Jean Painlevé est surtout associé aux documentaires sur la faune sous-marine qu’il tourna pendant près de cinquante ans. Mais les films qui l’ont fait connaître ont occulté la partie institutionnelle de sa carrière. Ainsi, dès 1930, ce réalisateur et producteur qui pâtit d’un manque de considération de la part de la profession, crée l’Institut de Cinématographie scientifique. Cette association va permettre au cinéma scientifique français de se développer notablement pendant les anné...

  6. Undervisning i håndskrivning. Interview med dansklærer Anne Mette Fræhr Møller

    DEFF Research Database (Denmark)

    Lund, Henriette

    2016-01-01

    På Thomasskolen i Skovlunde har indskolingslærer i dansk Anne Mette Fræhr Møller de sidste mange år arbejdet fokuseret med at udvikle sine elevers håndskrivning. Relevansen af undervisningen er hun ikke et sekund i tvivl om: det er en sikker vej ind i bogstavindlæringen og giver børnene et godt...... redskab at kommunikere med. Dog er hun mere usikker på, hvorvidt håndskrivningen bibeholder sin vigtighed i undervisningen, når eleverne starter på mellemtrinnet, og computeren kommer på banen. Til tidsskriftet Viden om Literacy nr 19 med tema om skrift har redaktør Henriette Romme Lund interviewet 5...

  7. 3D fluid-structure modelling and vibration analysis for fault diagnosis of Francis turbine using multiple ANN and multiple ANFIS

    Science.gov (United States)

    Saeed, R. A.; Galybin, A. N.; Popov, V.

    2013-01-01

    This paper discusses condition monitoring and fault diagnosis in Francis turbine based on integration of numerical modelling with several different artificial intelligence (AI) techniques. In this study, a numerical approach for fluid-structure (turbine runner) analysis is presented. The results of numerical analysis provide frequency response functions (FRFs) data sets along x-, y- and z-directions under different operating load and different position and size of faults in the structure. To extract features and reduce the dimensionality of the obtained FRF data, the principal component analysis (PCA) has been applied. Subsequently, the extracted features are formulated and fed into multiple artificial neural networks (ANN) and multiple adaptive neuro-fuzzy inference systems (ANFIS) in order to identify the size and position of the damage in the runner and estimate the turbine operating conditions. The results demonstrated the effectiveness of this approach and provide satisfactory accuracy even when the input data are corrupted with certain level of noise.

  8. Les transformations institutionnelles de l’économie sociale et solidaire en France des années 1960 à nos jours

    OpenAIRE

    Duverger, Timothée

    2016-01-01

    Certains affirment que « l’économie sociale et solidaire n’existe pas ». Mais c’est une réalité sociale, dont les racines plongent dans le XIXe siècle. Si elle connaît une éclipse à partir des années 1930, elle réapparaît en 1968 à la faveur d’une réarticulation des rapports entre l’État, le marché et la société civile. Elle se scinde en deux branches : l’économie sociale historique et l’économie sociale émergente, qui prend successivement la forme de l’économie alternative, de l’économie sol...

  9. Les premiers disciples français d’Hahnemann dans les années 1830 entre le scientifique et le religieux

    OpenAIRE

    Faure, Olivier

    2013-01-01

    Grâce aux lettres envoyées au fondateur de l’homéopathie, Samuel Hahnemann, par ses correspondants français dans les années 1830, on plonge au premier abord dans un univers beaucoup plus religieux que médical. Il y est question de guérisons miraculeuses, de révélation, de pèlerinage, de conversion, de missions dans le vaste monde, de croisade contre le choléra. Hahnemann est vite considéré comme un messie à qui l’on rend un véritable culte. Devenu chef charismatique, comme le définit M Weber ...

  10. 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

  11. 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

  12. Ettevõtjad: aasta tuleb raske, aga säilitage optimismi / Sten-Aleks Pihlak ; kommenteerinud Jüri Käo, Aivar Rehe, Anne Mere...[jt.

    Index Scriptorium Estoniae

    Pihlak, Sten-Aleks

    2009-01-01

    Ettevõtjad ennustavad 2009. aastaks raskeid aegu. Kommenteerivad Jüri Käo, Aivar Rehe, Anne Mere, Valdo Kalm, Peeter Tava, Andri Avila, Tarmo Noop, Jaano Vink, Jürgen Ligi, Taavi Veskimägi ja Maris Lauri

  13. Comments on ‘A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass’ by T N Singh, R Kanchan, A K Verma and K Saigal

    Indian Academy of Sciences (India)

    Tarkan Erdik; Zekai Şen

    2008-12-01

    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 some drawbacks according to fuzzy logic principles.This discussion will focus on the main fuzzy logic principles which authors and potential readers should take into consideration.

  14. ANN BASED ALGORITHM TO SOLVE TRANSFORMING ERROR CAUSED BY CURRENT TRANSFORMER SATURATION%基于ANN的补偿电流互感器饱和对传变电流影响的算法

    Institute of Scientific and Technical Information of China (English)

    龚庆武; 龙志君; 刘韬文; 陈允平

    2001-01-01

    A new algorithm based on artificial neural network (ANN) is developed to eliminate and compensate the current transforming error caused by current transformer saturation. The essential idea is that, when the current transformer is saturated, the current of primary side can be calculated through the current of secondary side using the non-linear mapping ability of ANN. Thus the influence by the saturation of current transformer will be eliminated. Comparison between the proposed algorithm based on ANN and the algorithm based on differential equation is also given in this paper. The result shows that ANN based algorithm is better than differential equation based algorithm.%提出一种基于人工神经网络(ANN)的消除和补偿电流互感器饱和对传变一次电流影响的算法。算法的基本思想为:当电流互感器饱和时,利用人工神经网络极强的非线性映射能力,由电流互感器的二次电流准确计算出一次电流,从而有效地消除和补偿了电流互感器饱和对传变一次电流的影响。与传统的基于微分方程的补偿算法进行了比较,结果表明基于ANN的算法能够获得比采用传统的微分方程算法更好的结果。

  15. 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

  16. Le folk revival en RDA dans les années 1970-1980 : lieux de tradition, lieux de contestation

    Directory of Open Access Journals (Sweden)

    Jean Mortier

    2010-11-01

    Full Text Available Le nazisme, et avant lui les organisations nationalistes, avaient dévoyé le Volkslied (chanson traditionnelle, mis au service, comme du reste toute la Volkskunde (les arts traditionnels, de l'idée « germanique ». Aussi assista-t-on après 1945 à un rejet des « traditions populaires », notamment de la « chanson populaire allemande » (certaines étant d’ailleurs interdites par les Alliés. Il faudra attendre la fin des années 1960 pour qu'en Allemagne de l'Ouest cette tradition « revisitée » ait à nouveau droit de cité, et qu'on commence même à rechanter en allemand, voire même à recomposer des chansons sur des textes allemands.En RDA, il en alla un peu différemment. Dès le début des années 1950, Wolfgang Steinitz, un grand ethnologue et musicologue, tenta dans un ouvrage qui fera date (Deutsche Volkslieder demokratischen Charakters aus sechs Jahrhunderten de redonner à la chanson populaire ses lettres de noblesse, en exhumant des textes nourris d'esprit « démocratique » et de révolte.Néanmoins pendant longtemps, la politique culturelle est-allemande entendit privilégier le chant purement révolutionnaire, le chant ouvrier, et aussi la chanson nouvelle vantant les mérites du socialisme et appelant à la mobilisation des masses en vue de l'édification d'un monde nouveau. Ce n'est que dans les années 1970 que des groupes « folkloriques », surgis un peu partout sur le territoire est-allemand, commencèrent, en s'appuyant très largement d'abord sur l'ouvrage de Steinitz, à se réapproprier la tradition, donnant naissance à un extraordinaire « folk revival ». Les raisons de ce phénomène sont multiples : ancrage « national », encouragé par les autorités, affirmation régionale, voire régionaliste (la Saxe contre la Prusse, mais aussi biais fort commode pour faire entendre, en s'abritant derrière des textes « revendicatifs » des mouvements populaires et en échappant de ce fait à la

  17. Les apparences vestimentaires de Louis XV : la composition de la garde-robe du souverain pour l’année 1772

    Directory of Open Access Journals (Sweden)

    Marie Chiozzotto

    2012-02-01

    Full Text Available La série de documents comptables provenant de la Garde-robe royale et conservée aux Archives Nationales est une source remarquable et inédite sur la culture vestimentaire curiale de l’époque moderne. L’analyse du corpus concernant l’année 1772 permet de reconstituer le contenu du vestiaire de Louis XV et d’identifier les acteurs de l’apparence royale. Un très grand nombre de pièces, habits habillés, habits-uniformes mais aussi manteaux et robes de chambre est commandé sur l’année. Toutes sont marquées par le luxe et la diversité de l’ornementation, des étoffes et des coloris. Quant au linge et aux accessoires, ils sont confectionnés dans les matières les plus nobles. La garde-robe du souverain répond à deux exigences, l’ostentation et le luxe qui définissent le statut du roi, et le respect du cérémonial de la vie de cour. Le faste de la parure royale participe ainsi pleinement à l’élaboration des signes de distinction de Louis XV, souverain parmi les courtisans.France, XVIIIe siècle, cour de France, Louis XV, garde-robe royale, vêtements, textilesRoyal Appearances. The Louis XV’s wardrobe in 1772 - The series of accounts from the French royal wardrobe, preserved at the National Archives in Paris, is a remarkable and original source about the court clothing culture of the 18th century. The study of the 1772 documents gives us the chance to reconstitute the content of the Louis XV’s wardrobe and to identify the actors of the royal appearance. A very large number of clothes, court costumes, uniforms, coats and dressing gowns is ordered all over the year. All of these items are sumptuous and the variety of the ornamentation, the fabrics and the colours is impressive. The underwear and the accessories are made in the most luxurious materials. The king’s wardrobe corresponds to two requirements : the ostentation and the luxury which define king’s status, and the respect of the court ceremonial. The

  18. Safety, immunogencity, and efficacy of a cold-adapted A/Ann Arbor/6/60 (H2N2) vaccine in mice and ferrets

    International Nuclear Information System (INIS)

    We studied the attenuation, immunogenicity and efficacy of the cold-adapted A/Ann Arbor/6/60 (AA ca) (H2N2) virus in mice and ferrets to evaluate its use in the event of an H2 influenza pandemic. The AA ca virus was restricted in replication in the respiratory tract of mice and ferrets. In mice, 2 doses of vaccine elicited a > 4-fold rise in hemagglutination-inhibition (HAI) titer and resulted in complete inhibition of viral replication following lethal homologous wild-type virus challenge. In ferrets, a single dose of the vaccine elicited a > 4-fold rise in HAI titer and conferred complete protection against homologous wild-type virus challenge in the upper respiratory tract. In both mice and ferrets, the AA ca virus provided significant protection from challenge with heterologous H2 virus challenge in the respiratory tract. The AA ca vaccine is safe, immunogenic, and efficacious against homologous and heterologous challenge in mice and ferrets, supporting the evaluation of this vaccine in clinical trials.

  19. Baroque néo-mélodique et barock’n’roll. Les identités musicales à Naples dans les années 1970

    Directory of Open Access Journals (Sweden)

    Gius Gargiulo

    2010-11-01

    Full Text Available Mon exposé vise à décrire les termes du débat sur l’identité culturelle et politique napolitaine au tourment des années soixante-dix, à travers le concept anthropologique et musical de napoletanità ou « napolétanité » élaboré par les élites musicales de la ville, comme Bennato et Daniele, qui rapprochaient, dans les rythmes de leurs chansons, les sonorités traditionnelles à celles du rock et du blues. De plus, la relecture philologique, par les musiciens-musicologues de la Nouvelle Compagnie de Chant Populaire, de l’imposant passé musical et populaire urbain de la ville, se situait à l’opposé des modules expressifs mélangés des chanteurs populaires néo-mélodiques. La problématique dans ce cas concerne la définition d’une esthétique sociale qui parvient a posteriori à configurer la notion d’identité baroque, « ba-rock » ou néo-baroque napolitain qui, à travers le pathétique, les excès, les croisements des sonorités, est capable de garder toujours à l’esprit une notion de centralité, un point de repère entre normalité et excès.

  20. Discuss on Teaching Quality Evaluation System Based on ANN%基于人工神经网络的教学质量评估体系研究

    Institute of Scientific and Technical Information of China (English)

    高志文; 金智; 李风军

    2013-01-01

    This paper puts forward the quantitative evaluation of neurons three layer methods, with the ANN theory applied in teaching quality evaluation. Through the study of known samples and the construction of neural network, the network can have more expert experience and knowledge, which can reduce the influence of the artifi-cial factor on the evaluation, and fundamentally overcome the shortcomings during the process. At the same time, it improves the accuracy and efficiency in the pattern classification, providing a meaningful way for teaching quali-ty evaluation system research.%把人工神经网络理论应用于教学质量评估,本文提出了三层神经网络的评价方法,通过对已知样本的学习以及对神经网络的构建,使网络更可以具有专家经验和知识,同时也减少在评价过程中人为因素的影响,弥补了教学质量评价过程中的不足,提高了模式分类的准确性和高效性,较好地保证评价结果的客观性,为教学质量评估体系的研究提供了较有效的方法。