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Sample records for ann butler zimrin

  1. 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.

  2. Nature of vegetative cycle in Phytophthora parasitica Dastur and palmivora (BUTLER) BUTLER

    International Nuclear Information System (INIS)

    Up to now, neither cytological nor genetical studies have clearly demonstrated the 'ploidy' degree of somatic nuclei in different species of Phytophthora. Two complementary studies, using biological effect of γ rays upon zoospores, and microspectrophotometric techniques measuring relative amount of DNA by nucleus in zoospores or in hyphae, allowed to demonstrate diploid nature of the vegetative phase in P. palmivora (BUTLER) BUTLER and P. parasitica DASTUR cycles

  3. 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.

  4. Mimesis: Judith Butler, Visual Practice, Tragic Art

    OpenAIRE

    Ganani-Tomares, Dafna

    2007-01-01

    The project grounds the use of mimesis in my video art practice. In the written element I query equivalence between mimesis and performativity in Judith Butler's conception; I consider the tragic and hyperbolic faculties of these, as ways of promoting expansion of context in received convention. My video clips have performance in them and mime destructive regimes in mainstream conventions of visual culture, of sexual identity and of political position, to challange these. They mobilize conven...

  5. 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…

  6. 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

  7. Anneli Remme soovitab : Lõunatund Eugeniga / Anneli Remme

    Index Scriptorium Estoniae

    Remme, Anneli, 1968-

    2008-01-01

    Suure-Jaani kohvikus Arturi Juures räägib 20. juunil helilooja, muusikateadlane, saatejuht ja festivalikorraldaja Anne Erm oma õpetajast, heliloojast Eugen Kapist. 15.-23. juunini toimuv XI Suure-Jaani muusikafestival on tänavu pühendatud Artur Kapi 130., Eugen Kapi 100. ja Villem Kapi 95. sünniaastapäevale

  8. 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....

  9. 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

  10. 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.

  11. Judith Butler, lectora crítica de Jacques Lacan

    OpenAIRE

    Suniga, Natalia; Luzza Rodriguez, Pablo Gabriel

    2014-01-01

    Uno de los objetivos más importantes de la intervención de Judith Butler en el campo de la Teoría Social ha sido resignificar críticamente algunos de los principales conceptos de la teoría lacaniana en el marco de la teoría feminista dando cuenta del potencial subversivo de lo excluido en la constitución del orden simbólico y de sus sujetos. Desde una perspectiva post-estructuralista, Butler (1989, 1993, 2000) propone comprender la noción lacaniana de prohibición como una formación históri...

  12. 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.

  13. Annäherung

    Directory of Open Access Journals (Sweden)

    Carola Hilmes

    2007-03-01

    Full Text Available Das von Stefan Moses zusammengestellte „Bilderbuch“ zeigt Fotos von Ilse Aichinger. Sie selbst kommt durch eine Reihe von Geschichten und Gedichten zu Wort. In diesen intimen Dialog werden auch die Leser/-innen einbezogen. Das ermöglicht Annäherung.

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

    OpenAIRE

    Katharina Luckner

    2012-01-01

    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 ans...

  15. 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.

  16. 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.

  17. 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"

  18. 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

  19. 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...

  20. 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...

  1. 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…

  2. 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…

  3. 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.

  4. 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.

  5. 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 Whitetailed Deer JBH manages over 5,600 acres of pastures, forested tidal swamps, brushy woodlots, marshes, and sloughs...

  6. Strategic Curricular Decisions in Butler University's Actuarial Science Major

    Science.gov (United States)

    Wilson, Christopher James

    2014-01-01

    We describe specific curricular decisions employed at Butler University that have resulted in student achievement in the actuarial science major. The paper includes a discussion of how these decisions might be applied in the context of a new actuarial program.

  7. 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.

  8. Change agency as performance and embeddedness : Exploring the possibilities and limits of Butler and Bourdieu

    OpenAIRE

    Nentwich, Julia C.; Özbilgin, Mustafa F.; Tatli, Ahu

    2014-01-01

    In this paper we explore the dual role of human agency in maintaining the status quo and generating change. Judith Butler and Pierre Bourdieu offer differing conceptions of change agency in relation to organisation and transformation of gender relations. Focusing on how those approaches would work, we analyse an empirical case study on a particular change process: getting women the right to vote in the Swiss cantons of Appenzell. We contribute to the current use of Butler's and Bourdieu's the...

  9. 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

  10. 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.

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

    OpenAIRE

    K. Staszek; Gruszczynski, S.; Wincza, K.

    2014-01-01

    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...

  12. 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

  13. 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.

  14. 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

  15. 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.

  16. [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)

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. The non-sovereign self - Arendt, Butler and Cavell on the subject, community and otherness

    OpenAIRE

    Kelz, R. J.; McNay, Lois

    2014-01-01

    This thesis examines the idea of the non-sovereign self and the role it plays in the work of Hannah Arendt, Judith Butler, and Stanley Cavell. Based on their critiques of the subject a philosophical anthropology is forwarded that stresses that humans can only be understood in relation to their environment. This highlights the role of language, embodiment, and psychic attachment for the notion of the non-sovereign self and maintains that humans are finite and contingent beings. The finiteness ...

  2. 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.

  3. 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.

  4. Instability localization with artificial neural networks (ANNs)

    International Nuclear Information System (INIS)

    The aim of this piece of research is to investigate the potential of artificial neural networks (ANNs) for tackling the problem of instability localization. The instability is modeled by a variable strength absorber (point-source) in a two-dimensional bare reactor model with a one neutron-energy group. The proposed approach constitutes an exercise in simplicity in that: (1) an arbitrarily simplified model is employed for ANN training and validation; (2) few training and validation patterns of low complexity are utilized; (3) the ANN inputs are derived directly from the neutron noise signals, the proposed location of instability is given on-line via an uncomplicated combination of ANN outputs; (4) the ANN architecture is independent of the number of possible locations of instability. In fact, unlike previous approaches which employ hundreds of outputs (one for each fuel assembly), only two ANN outputs are employed representing the X- and Y-coordinates (location) of instability; (5) the responses of only a few detectors are employed; (6) a measure of confidence in the prediction is assigned. The results of ANN testing, which is performed on patterns from both actual and simplified models, are reported and analyzed

  5. 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.

  6. ‘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

  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. From Psychoanalysis to Politics. Antigone as a Revolutionary in Judith Butler and Slavoj Žižek

    OpenAIRE

    Sarah De Sanctis

    2012-01-01

    In this paper I will analyse two contemporary readings of Sophocle's Antigone: the one proposed by Judith Butler in the influential Antigone's Claim (2000) and the response to it by Slavoj Žižek in Interrogating the Real (2005), Welcome to the Desert of the Real (2002) and other works. Both readings stem from a psychoanalytical (Lacanian) approach in order to face social and political issues. After providing the reader with an investigation of Butler's and Žižek's interpretations, I will draw...

  9. From Psychoanalysis to Politics. Antigone as a Revolutionary in Judith Butler and Slavoj Žižek

    Directory of Open Access Journals (Sweden)

    Sarah De Sanctis

    2012-12-01

    Full Text Available In this paper I will analyse two contemporary readings of Sophocle's Antigone: the one proposed by Judith Butler in the influential Antigone's Claim (2000 and the response to it by Slavoj Žižek in Interrogating the Real (2005, Welcome to the Desert of the Real (2002 and other works. Both readings stem from a psychoanalytical (Lacanian approach in order to face social and political issues. After providing the reader with an investigation of Butler's and Žižek's interpretations, I will draw a comparison of the two, showing that, for both, Antigone is a revolutionary figure that challenges the established social order.

  10. 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.

  11. 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.

  12. 75 FR 49516 - Lewis and Clark National Wildlife Refuge and the Julia Butler Hansen Refuge for the Columbian...

    Science.gov (United States)

    2010-08-13

    ... the refuges. We started this process through a notice in the Federal Register (71 FR 55214; September... notice of availability in the Federal Register (75 FR 6694; February 10, 2010). The Lewis and Clark... Fish and Wildlife Service Lewis and Clark National Wildlife Refuge and the Julia Butler Hansen...

  13. 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...

  14. 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

  15. 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

  16. '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

  17. 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

  18. A 4 × 4 Butler Matrix for 28 GHz Switched Multi-Beam Antenna

    Directory of Open Access Journals (Sweden)

    Stella Ifeoma Orakwue

    2015-04-01

    Full Text Available In this paper, a 4 × 4 Butler matrix (BM switched-beam patch antenna array is designed and discussed. The design is developed on a single layer of Rogers material; RO 5880 with dielectric constant 2.2 and thickness 0.254mm.This makes the designed antenna low cost and easy of fabrication. The four rectangular patches fed by inset microstrip lines are connected to the outputs of the BM. The results show wide bandwidth that covers from 24.67 GHz to 30.2 GHz in all the four inputs, and the highest array gain performance of 10.8 dBi at 28 GHz. The designed switched beam antenna provides a cost effective approach to implement at 28 GHz wireless communications.

  19. 19 April 2013 - The University of Chicago Vice President for Research and for National Laboratories D. H. Levy signing the guest book with CERN Director for Accelerators and Technology S. Myers; in the LHC tunnel with L. Bottura; throughout accompanied by US CMS J. Butler. Mrs Levy and Mrs Butler took part.

    CERN Multimedia

    Anna Pantelia

    2013-01-01

    19 April 2013 - The University of Chicago Vice President for Research and for National Laboratories D. H. Levy signing the guest book with CERN Director for Accelerators and Technology S. Myers; in the LHC tunnel with L. Bottura; throughout accompanied by US CMS J. Butler. Mrs Levy and Mrs Butler took part.

  20. Q&A: Grace Anne Koppel, Living Well with COPD

    Science.gov (United States)

    ... turn JavaScript on. Feature: The Challenge of COPD Q&A: Grace Anne Koppel, Living Well with COPD ... done. Read More "The Challenge of COPD" Articles Q&A: Grace Anne Koppel, Living Well with COPD / ...

  1. 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.

  2. 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...

  3. Stability analysis of rubblemound breakwater using ANN

    Digital Repository Service at National Institute of Oceanography (India)

    Mandal, S.; Rao, S.; Manjunath, Y.R.; Kim, D.H.

    Conference on Harbour and Ocean Engineering, 12-14, Dec. 2007, at NITK, Surathkal 551 STABILITY ANALYSIS OF RUBBLE MOUND BREAKWATER USING ANN S. Mandal Subba Rao Manjunatha Y.R Kim D.H Ocean Engineering Division, National Institute of Oceanography... Engineering, Kunsan Jeonbuk South Korea eastlite@kunsan.ac.kr ABSTRACT The stability analysis of coastal structure is very important because it involves many design parameters to be considered for the safe and economical design of structure...

  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. Norbert Ricken, Nicole Balzer (Hg.): Judith Butler: Pädagogische Lektüren. Wiesbaden: Springer VS 2012.

    OpenAIRE

    Sahra Dornick

    2013-01-01

    Ausgehend von Judith Butlers subjekt- und gesellschaftstheoretischen Interventionen beleuchten die Autor/-innen des erziehungswissenschaftlich orientierten Sammelbandes unterschiedliche Verhältnisse von Bildung und Geschlecht. In dem klar strukturierten Buch berücksichtigen sie dabei sowohl allgemeine Verflechtungsbeziehungen, theoretische Zusammenhänge als auch empirische Studien und interdiskursive Lektüren. Der solchermaßen umfassend herausgearbeitete Einblick in das erziehungswissenschaft...

  6. Effect of a new fluorochrome on pre- and post-UV treatment of Taphrina maculans Butler

    International Nuclear Information System (INIS)

    Taphrina maculans Butler incites leaf spots disease in turmeric (Curcuma longa L.) plants. The patogen forms two types of colonies namely, salmon-red and creamy-white in the artifical medium when isolated from a single infection spot. Both strains resemble yeasts in morphology. The two strains were subjected to UV irradiation. The salmon-red one showed higher resistance to UV than the white one, presumably due to the presence of a red pigment in the former. When spores of the salmon-red strain were pre-treated with a new fluorochrome Hoechst 33258 the survival decreased. Decreased survival of the salmon-red strain was also oberved during post-treatment which is probably due to the combined effect of UV and dye. The creamy-white strain differs from the salmon-red one in UV sensitivity, and also during combined treatment with UV and dye. During pre-treatment the organism shows more survival than during post-treatment with the fluorochrome. This differential response is discussed in the light of repair mechanisms involved in the organism. (author)

  7. William Butler Yeats’s ‘The Symbolic System’ of William Blake

    Directory of Open Access Journals (Sweden)

    Arianna Antonielli

    2008-03-01

    Full Text Available The theosophical systems formulated by great poets, such as William Blake and William Butler Yeats, represent a personal idiosyncratic actualization of an ancient repertoire of magical symbols and occult visions. This study wants to focus the attention on the philosophical, mythical, and esoteric syncretism that W. B. Yeats drew from William Blake’s symbolical system. A fundamental step of Yeats’s deep investigation into the Blakean ‘vision’ was given by his monumental work, written together with Edwin John Ellis, on Blake’s poetic and pictorial production, completed in 1893 with a three-volume edition entitled The Works of William Blake, Poetic, Symbolic, and Critical. This work, published in London by Bernard Quaritch, deeply influenced Yeats’s symbolical and imaginary system, determining its subsequent development up to its codification in the volume of A Vision. With WWB, Yeats was able to systematize for the first time his own thought, giving unity to his Weltanschauung and his poetry. Following this hypothesis, I concentrated on Yeats’s and Ellis’s numerous analyses dedicated to Blake’s mythological and symbolical corpus and, in particular, I examined the last chapter of the first volume of the Quaritch edition. This chapter, entitled “The Symbolic System”, constitutes an unquestionable link between Yeats the reader and scholar of Blake, and Yeats the poet and follower of Blake.

  8. 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

  9. 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

  10. 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...

  11. 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...

  12. Super capacitor modeling with artificial neural network (ANN)

    Energy Technology Data Exchange (ETDEWEB)

    Marie-Francoise, J.N.; Gualous, H.; Berthon, A. [Universite de Franche-Comte, Lab. en Electronique, Electrotechnique et Systemes (L2ES), UTBM, INRETS (LRE T31) 90 - Belfort (France)

    2004-07-01

    This paper presents super-capacitors modeling using Artificial Neural Network (ANN). The principle consists on a black box nonlinear multiple inputs single output (MISO) model. The system inputs are temperature and current, the output is the super-capacitor voltage. The learning and the validation of the ANN model from experimental charge and discharge of super-capacitor establish the relationship between inputs and output. The learning and the validation of the ANN model use experimental results of 2700 F, 3700 F and a super-capacitor pack. Once the network is trained, the ANN model can predict the super-capacitor behaviour with temperature variations. The update parameters of the ANN model are performed thanks to Levenberg-Marquardt method in order to minimize the error between the output of the system and the predicted output. The obtained results with the ANN model of super-capacitor and experimental ones are in good agreement. (authors)

  13. 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.

  14. 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...

  15. 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...

  16. 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…

  17. 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...

  18. 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.

  19. 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.

  20. Norbert Ricken, Nicole Balzer (Hg.: Judith Butler: Pädagogische Lektüren. Wiesbaden: Springer VS 2012.

    Directory of Open Access Journals (Sweden)

    Sahra Dornick

    2013-05-01

    Full Text Available Ausgehend von Judith Butlers subjekt- und gesellschaftstheoretischen Interventionen beleuchten die Autor/-innen des erziehungswissenschaftlich orientierten Sammelbandes unterschiedliche Verhältnisse von Bildung und Geschlecht. In dem klar strukturierten Buch berücksichtigen sie dabei sowohl allgemeine Verflechtungsbeziehungen, theoretische Zusammenhänge als auch empirische Studien und interdiskursive Lektüren. Der solchermaßen umfassend herausgearbeitete Einblick in das erziehungswissenschaftliche Potential von Judith Butlers Theorie rahmt ihren hier erstmalig veröffentlichten Aufsatz „Gender and Education“ überzeugend ein.Based on Judith Butler’s subject- and social-theoretical interventions, the authors of this pedagogy-oriented anthology investigate various relationships of education and gender. This clearly structured book considers general complex interrelationships, theoretical connections, as well as empirical studies and interdiscursive readings. The comprehensive and elaborate insights into the pedagogical potential of Judith Butler’s theory convincingly frame her essay “Gender and Education,” which is published for the first time in this work.

  1. 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 ...

  2. Professor Anne Khademian named National Academy of Public Administration Fellow

    OpenAIRE

    Chadwick, Heather Riley

    2009-01-01

    Anne Khademian, professor with Virginia Tech's Center for Public Administration and Policy, School of Public and International Affairs, at the Alexandria, Va., campus has been elected a National Academy of Public Administration (NAPA) Fellow.

  3. 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)

  4. 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.

  5. 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"

  6. 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

  7. 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.

  8. Reliable prediction of complex thermal hydraulic parameters by ANN

    International Nuclear Information System (INIS)

    Thermal hydraulic data-base is very useful in the design and analysis of the proposed Advanced Heavy Water Reactor which relies on natural circulation for normal core cooling. Compilation of the thermal hydraulic data-base is in progress. Artificial Neural Networks (ANNs), have been applied to analyse the consistency and accuracy of the data-base. The ANN predictions are more accurate and cover wider range of parameters compared to model based predictions

  9. Analysis of Height Affect on Average Wind Speed by Ann

    OpenAIRE

    Ata, Raşit; Çetin, Numan

    2011-01-01

    The power generated by wind turbines depends on several factors. Two of them are the wind speed and the tower height of wind turbine. In this study, the annual average wind speed based on the tower height is predicted using Artificial Neural Networks (ANN) and comparisons made with conventional model approach. The backpropagation multi layer ANNs were used to estimate annual average wind speed for three locations in Turkey. The Model has been developed with the help of neural network methodol...

  10. Analysis of Height Affect on Average Wind Speed by ANN

    OpenAIRE

    Ata, Raşit; Çetin, Numan

    2011-01-01

    The power generated by wind turbines depends on several factors. Two of them are the wind speed and the tower height of wind turbine. In this study, the annual average wind speed based on the tower height is predicted using Artificial Neural Networks (ANN) and comparisons made with conventional model approach. The backpropagation multi layer ANNs were used to estimate annual average wind speed for three locations in Turkey. The Model has been developed with the help of neural network methodol...

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

    Index Scriptorium Estoniae

    Veski, Anne, 1956-

    2008-01-01

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

  12. In a Village Street

    OpenAIRE

    Butler, Mildred Anne (Irish painter, 1858-1941)

    1988-01-01

    Exhibited: Kilkenny, The Butler Society, Mildred Anne Butler, 1982, no. 59; Dublin, National Gallery of Ireland; Cork, Crawford Art Gallery; Belfast, Ulster Museum and Art Gallery, Mildred Anne Butler, 1987-88, no. 59; Kilmainham, The Royal Hospital, Mildred Anne Butler, July-October, 1988, no. 2.

  13. 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

  14. 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 ...

  15. Anne Martin-Fugier. Galeristes : entretiens

    OpenAIRE

    Maldonado, Guitemie

    2012-01-01

    Anne Martin-Fugier est historienne, spécialiste de la vie culturelle et sociale au XIXe siècle. Depuis le milieu des années 1970, elle est également collectionneuse et sacrifie avec bonheur, le samedi, au rituel tour des galeries parisiennes. Dans cette fréquentation assidue, elle a tissé des relations d’estime, voire d’amitié, avec certains de leurs directeurs, relations dont témoignent les onze entretiens réalisés entre décembre 2008 et décembre 2009 et publiés ici. La forme choisie, vivant...

  16. 2011 : Qu'elle année !

    CERN Multimedia

    Staff Association

    2012-01-01

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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. 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

  2. Growth characteristics modeling of Bifidobacterium bifidum using RSM and ANN

    Directory of Open Access Journals (Sweden)

    Ganga S. Meena

    2011-12-01

    Full Text Available The aim of this work was to optimize the biomass production by Bifidobacterium bifidum 255 using the response surface methodology (RSM and artificial neural network (ANN both coupled with GA. To develop the empirical model for the yield of probiotic bacteria, additional carbon and nitrogen content, inoculum size, age, temperature and pH were selected as the parameters. Models were developed using ¼ fractional factorial design (FFD of the experiments with the selected parameters. The normalized percentage mean squared error obtained from the ANN and RSM models were 0.05 and 0.1%, respectively. Regression coefficient (R² of the ANN model showed higher prediction accuracy compared to that of the RSM model. The empirical yield model (for both ANN and RSM obtained were utilized as the objective functions to be maximized with the help of genetic algorithm. The optimal conditions for the maximal biomass yield were 37.4 °C, pH 7.09, inoculum volume 1.97 ml, inoculum age 58.58 h, carbon content 41.74% (w/v, and nitrogen content 46.23% (w/v. The work reported is a novel concept of combining the statistical modeling and evolutionary optimization for an improved yield of cell mass of B. bifidum 255.

  3. Volinik surub notareid ja panku vabaturule / Anne Oja, Tõnis Arnover

    Index Scriptorium Estoniae

    Oja, Anne, 1970-

    2007-01-01

    Euroopa konkurentsivolinik Neelie Kroes heidab Eestile ette konkurentsi puudumist notarite ja kaardimaksete puhul. Diagramm: Notar tõestab kolm kinnisvaratehingut päevas. Vt. samas: Ravimimüügi liberaliseerimist ei tule; Neelie Kroes - Euroopa monopolide hirm; Kroes ärritas Tallinna-avaldusega Gazpromi. Vt. ka Anne Oja art. 22. juuni Äripäev lk. 7

  4. 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

  5. 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.

  6. Population Dynamics of the Swallowtail Butterfly Battus polystictus polystictus (Butler) (Lepidoptera: Papilionidae) with Notes on Its Natural History.

    Science.gov (United States)

    Scalco, V W; de Morais, A B B; Romanowski, H P; Mega, N O

    2016-02-01

    Battus polystictus (Butler) is a butterfly from the Neotropical region, occurring in the Atlantic Forest and Pampa biomes. It is commonly found in forest fragments surrounded by meadow formations, subjected to marked seasonal changes. Here, we report the population dynamics of B. polystictus at a high latitude environment and provide notes on its natural history. Population parameters were estimated on a 12-month mark-recapture program and the seasonality of resources investigated by exhaustive mapping of host-plants and flowers. The number of butterflies per day was not stable during the year, ranging from zero (winter) to 22 (summer); the sex ratio was always male biased (3M:1F). The age structure was not constant, with an increase of older individuals toward summer. The population density was positively correlated with temperature, relative humidity, and day length. The residence time was lower for males, while the vagility was lower for females; the increment of resources at forest edges seems to increase the likelihood of occurrence of both sexes. The results shown here suggest that South Brazilian populations of B. polystictus have high ecological demands for spring and summer conditions, avoiding winter in diapause. PMID:26590142

  7. 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

  8. 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 ...

  9. Daily Reference Evapotranspiration Estimation using Linear Regression and ANN Models

    Science.gov (United States)

    Mallikarjuna, P.; Jyothy, S. A.; Sekhar Reddy, K. C.

    2012-12-01

    The present study investigates the applicability of linear regression and ANN models for estimating daily reference evapotranspiration (ET0) at Tirupati, Nellore, Rajahmundry, Anakapalli and Rajendranagar regions of Andhra Pradesh. The climatic parameters influencing daily ET0 were identified through multiple and partial correlation analysis. The daily temperature, wind velocity, relative humidity and sunshine hours mostly influenced the study area in the daily ET0 estimation. Linear regression models in terms of the climatic parameters influencing the region and, optimal neural network architectures considering these influencing climatic parameters as input parameters were developed. The models' performance in the estimation of ET0 was evaluated with that estimated by FAO-56 Penman-Montieth method. The regression models showed a satisfactory performance in the daily ET0 estimation for the regions selected for the present study. The optimal ANN (4,4,1) models, however, consistently showed an improved performance over regression models.

  10. 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.

  11. 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 ...

  12. 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...

  13. DESIGN OF A VISUAL INTERFACE FOR ANN BASED SYSTEMS

    OpenAIRE

    Ramazan BAYINDIR; SESVEREN, Ömer

    2008-01-01

    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 networ...

  14. Forecasting Electrical Load using ANN Combined with Multiple Regression Method

    OpenAIRE

    Saeed M. Badran; Ossama B. Abouelatta

    2012-01-01

    This paper combined artificial neural network and regression modeling methods to predict electrical load. We propose an approach for specific day, week and/or month load forecasting for electrical companies taking into account the historical load. Therefore, a modified technique, based on artificial neural network (ANN) combined with linear regression, is applied on the KSA electrical network dependent on its historical data to predict the electrical load demand forecasting up to year 2020. T...

  15. Juhtide soovitus abiturientidele: alustage madalaimast ametikohast / Ann-Marii Nergi

    Index Scriptorium Estoniae

    Nergi, Ann-Marii

    2013-01-01

    Tallinna Tehnikaülikooli korraldatud vastuvõtul abiturientidele rääkisid ettevõtete tippjuhid, mida tööandjad noortelt ülikoolilõpetajatelt ootavad. AS-i EMT juhatuse esimehe Valdo Kalmi, AS-i Kalev turundusdirektori Anne Tääkre, A.Le Coq tegevjuhi Tarmo Noobi ja Microsoft Balti regiooni juhi Rain Laane mõtteavaldused

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

    Directory of Open Access Journals (Sweden)

    Ele Süvalep

    2010-05-01

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

  17. Using ANNs to predict cooling requirements for residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    Karatasou, S.; Santamouris, M.; Geros, V. [University of Athens (Greece). Physics Dept.

    2004-07-01

    Artificial neural networks (ANNs) have been used for the prediction of cooling loads of residential buildings in Athens, Greece. The investigation was performed for the summer period, where for Southern European countries, short time cooling load forecasting in residential buildings with lead times from 1 hour to 7 days can play a key role in the economic and energy efficient operation of cooling appliances. The objective of this work is to produce a simulation algorithm, using ANNs, capable to forecast the following 24-hour cooling load profiles. Reliable cooling consumption measurements are required but are not usually available for residential buildings. State-ofthe- art building simulation software, TRNSYS, was used to calculate energy demand for cooling for five selected apartments in Athens, Greece, using detailed building data (geometry, wall construction, occupancy etc) and Athens climate conditions. These data are used to train artificial neural networks in order to generate the relationship between selected inputs and the desired output, the next day building energy consumption for cooling. A multiplayer perceptron architecture using the standard back-propagation learning algorithm has been applied yielded to satisfactory results and the conclusion that when ANNs are trained on reliable data they can simulate the behavior of the building, thus they can be effectively used to predict future performance. (orig.)

  18. Coupling SWAT and ANN models for enhanced daily streamflow prediction

    Science.gov (United States)

    Noori, Navideh; Kalin, Latif

    2016-02-01

    To improve daily flow prediction in unmonitored watersheds a hybrid model was developed by combining a quasi-distributed watershed model and artificial neural network (ANN). Daily streamflow data from 29 nearby watersheds in and around the city of Atlanta, Southeastern United States, with leave-one-site-out jackknifing technique were used to build the flow predictive models during warm and cool seasons. Daily streamflow was first simulated with the Soil and Water Assessment Tool (SWAT) and then the SWAT simulated baseflow and stormflow were used as inputs to ANN. Out of the total 29 test watersheds, 62% and 83% of them had Nash-Sutcliffe values above 0.50 during the cool and warm seasons, respectively (considered good or better). As the percent forest cover or the size of test watershed increased, the performances of the models gradually decreased during both warm and cool seasons. This indicates that the developed models work better in urbanized watersheds. In addition, SWAT and SWAT Calibration Uncertainty Procedure (SWAT-CUP) program were run separately for each station to compare the flow prediction accuracy of the hybrid approach to SWAT. Only 31% of the sites during the calibration and 34% of validation runs had ENASH values ⩾0.50. This study showed that coupling ANN with semi-distributed models can lead to improved daily streamflow predictions in ungauged watersheds.

  19. 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

  20. Groundwater Pollution Source Identification using Linked ANN-Optimization Model

    Science.gov (United States)

    Ayaz, Md; Srivastava, Rajesh; Jain, Ashu

    2014-05-01

    Groundwater is the principal source of drinking water in several parts of the world. Contamination of groundwater has become a serious health and environmental problem today. Human activities including industrial and agricultural activities are generally responsible for this contamination. Identification of groundwater pollution source is a major step in groundwater pollution remediation. Complete knowledge of pollution source in terms of its source characteristics is essential to adopt an effective remediation strategy. Groundwater pollution source is said to be identified completely when the source characteristics - location, strength and release period - are known. Identification of unknown groundwater pollution source is an ill-posed inverse problem. It becomes more difficult for real field conditions, when the lag time between the first reading at observation well and the time at which the source becomes active is not known. We developed a linked ANN-Optimization model for complete identification of an unknown groundwater pollution source. The model comprises two parts- an optimization model and an ANN model. Decision variables of linked ANN-Optimization model contain source location and release period of pollution source. An objective function is formulated using the spatial and temporal data of observed and simulated concentrations, and then minimized to identify the pollution source parameters. In the formulation of the objective function, we require the lag time which is not known. An ANN model with one hidden layer is trained using Levenberg-Marquardt algorithm to find the lag time. Different combinations of source locations and release periods are used as inputs and lag time is obtained as the output. Performance of the proposed model is evaluated for two and three dimensional case with error-free and erroneous data. Erroneous data was generated by adding uniformly distributed random error (error level 0-10%) to the analytically computed concentration

  1. 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...

  2. 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"

  3. Les coordinations, filles des années 1968

    OpenAIRE

    LESCHI, Didier

    2005-01-01

    Les coordinations ont fait leur apparition au lendemain de Mai 1968 dans les lycées puis dans les universités. Elles sont devenues un élément constant du répertoire d'action collective des mouvements de jeunesse. Au milieu des années 1980, des coordinations naissent dans des secteurs salariés (cheminots, infirmières, postiers) sans pour autant s'établir durablement comme forme d'action collective. L'apparition de ces coordinations de salariés est à la fois liée aux circonstances et au ...

  4. 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

  5. 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.

  6. 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...

  7. 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...

  8. 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...

  9. 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

  10. 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.

  11. 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)

  12. An adaptive calibration circuit for level measurement using optimized ANN

    Science.gov (United States)

    Santhosh, V. K.; Roy, B. K.

    2013-01-01

    Design of an intelligent level measurement technique by Capacitance Level Sensor (CLS) using an Optimized Artificial Neural Network (OANN) is discussed in this paper. The objectives of the present work are (i) to extend the linearity range of measurement to 100% of the full scale, (ii) to make the measurement technique adaptive of variation in permittivity of liquid, liquid temperature, and to achieve objectives (i) and (ii) using an optimized neural network. An optimized ANN is considered by comparing various algorithms, transfer functions of neuron, and number of hidden layers based on minimum mean square error (MSE). The output of CLS is capacitance. A data conversion unit is used to convert it to voltage. A suitable optimized ANN is added, in place of conventional calibration circuit, in cascade to data conversion unit. The proposed technique provides linear relationship of the overall system over the full input range and makes it adaptive of variation in liquid permittivity and/or temperature. When an unknown level is tested with an arbitrary liquid permittivity, and temperature, the proposed technique has measured the level correctly. Results show that the proposed scheme has fulfilled the objectives.

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

    OpenAIRE

    Salah. Hanini; Maamar Laidi

    2012-01-01

    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 bia...

  14. 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.

  15. 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...

  16. 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.

  17. 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.

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

    Directory of Open Access Journals (Sweden)

    M. Lenta

    1993-05-01

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

  19. 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

  20. 2011 : Année internationale de la chimie

    OpenAIRE

    2011-01-01

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

  1. Streamflow and water-quality data for Little Scrubgrass Creek basin, Venango and Butler Counties, Pennsylvania, December 1987-November 1988. Open File Report

    International Nuclear Information System (INIS)

    Streamflow and water-quality data were collected throughout the Little Scrubgrass Creek basin, Venango and Butler Counties, Pennsylvania, from December 1987 to November 1988, to determine the prevailing quality of surface water throughout the basin. The data will assist the Pennsylvania Department of Environmental Resources during its review of coal mine permit applications. A water-quality station on Little Scrubgrass Creek near Lisbon, provided continuous-record of stream stage, pH, specific conductance, and water temperature. Monthly water-quality samples collected at the station were analyzed for total and dissolved metals, nutrients, major cations and anions, and suspended sediment concentrations. Fourteen partial-record sites, located throughout the basin, were similarly sampled four times during the period of study. Streamflow and water-quality data obtained at these sites during various base flow periods are also presented

  2. 75 FR 418 - Certificate of Alternative Compliance for the Offshore Supply Vessel KELLY ANN CANDIES

    Science.gov (United States)

    2010-01-05

    ...'s ability to maneuver within close proximity of offshore platforms and conduct helicopter operations... SECURITY Coast Guard Certificate of Alternative Compliance for the Offshore Supply Vessel KELLY ANN CANDIES... Alternative Compliance was issued for the offshore supply vessel KELLY ANN CANDIES as required by 33...

  3. 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

  4. 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…

  5. 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

  6. 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 ...

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

    Science.gov (United States)

    Jimenez, Rafael C.; Albar, Juan P.; Bhak, Jong; Blatter, Marie-Claude; Blicher, Thomas; Brazas, Michelle D.; Brooksbank, Cath; Budd, Aidan; De Las Rivas, Javier; Dreyer, Jacqueline; van Driel, Marc A.; Dunn, Michael J.; Fernandes, Pedro L.; van Gelder, Celia W. G.; Hermjakob, Henning; Ioannidis, Vassilios; Judge, David P.; Kahlem, Pascal; Korpelainen, Eija; Kraus, Hans-Joachim; Loveland, Jane; Mayer, Christine; McDowall, Jennifer; Moran, Federico; Mulder, Nicola; Nyronen, Tommi; Rother, Kristian; Salazar, Gustavo A.; Schneider, Reinhard; Via, Allegra; Villaveces, Jose M.; Yu, Ping; Schneider, Maria V.; Attwood, Teresa K.; Corpas, Manuel

    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 add 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. Availability: http://iann.pro/iannviewer Contact: manuel.corpas@tgac.ac.uk PMID:23742982

  8. 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...

  9. 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.

  10. 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...

  11. 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.

  12. 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.

  13. Estimation of Anti-HIV Activity of HEPT Analogues Using MLR, ANN, and SVM Techniques

    OpenAIRE

    Basheerulla Shaik; Tabassum Zafar; Vijay K. Agrawal

    2013-01-01

    The present study deals with the estimation of the anti-HIV activity (log1/C) of a large set of 107 HEPT analogues using molecular descriptors which are responsible for the anti-HIV activity. The study has been undertaken by three techniques MLR, ANN, and SVM. The MLR model fits the train set with R 2=0.856 while in ANN and SVM with higher values of R 2 = 0.850, 0.874, respectively. SVM model shows improvement to estimate the anti-HIV activity of trained data, while in test set ANN have highe...

  14. Approximation of magnetic data surface with ANN (artificial neural network) method

    International Nuclear Information System (INIS)

    Complete text of publication follows. Aero magnetic digital gridded data acquired and processed by US geological survey with Mexican collaborators have been downloaded from internet. The field dataset is a part of the Online Magnetic Dataset for North America, with more than 200,000 data points. Using ANN method a surface has been fitted to the magnetic data. ANN is programmed under Matlab software environment by using Multi Layer Perception (MLP) structure.The ANN model had multilayer perception structure most programmed on there Matlab. The accuracy of surface approximation was tested by 1) comparison with result of other methods contained in Surfer program; 2) Interpolated known data on the surface.

  15. 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.

  16. 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.

  17. Etika odvrženého a morálka oběti. K pojetí lidství a nelidství u Adorna, Butler a Améryho

    Czech Academy of Sciences Publication Activity Database

    Koubová, Alice

    2014-01-01

    Roč. 69, č. 7 (2014), s. 549-557. ISSN 0046-385X R&D Projects: GA ČR GAP401/10/1164; GA ČR(CZ) GA14-22586S Grant ostatní: AV ČR(CZ) M300091203 Institutional support: RVO:67985955 Keywords : human * non-human * non-anthropocentric view * Butler * Adorno * Améry * Victim * Offence Subject RIV: AA - Philosophy ; Religion

  18. 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.

  19. 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...

  20. 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

  1. 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)

  2. 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

  3. 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

  4. 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...

  5. 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.

  6. 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...

  7. 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.

  8. 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 ...

  9. DETECTION OF PROTOZOA IN WASTEWATER USING ANN AND ACTIVE CONTOUR IN IMAGE PROCESSING

    OpenAIRE

    Boztoprak, Halime; Özbay, Yüksel

    2013-01-01

    A new method is proposed to detect the location of protozoa using edge extractor and Artificial Neural Networks (ANN). In this method, pre-processing is applied to the activated sludge images. ANN is classified with seven parameters that contain general features of protozoa. The features are obtained from properties of each region after applying edge extractor. Morphological operations are applied to obtain protozoa as a whole. A system has been developed to decide the regions of protozoa usi...

  10. 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.

  11. 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...

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

    Directory of Open Access Journals (Sweden)

    Federico Crisalidi

    2013-12-01

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

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. Damage detection and identification in smart structures using SVM and ANN

    Science.gov (United States)

    Farooq, M.; Zheng, H.; Nagabhushana, A.; Roy, S.; Burkett, S.; Barkey, M.; Kotru, S.; Sazonov, E.

    2012-04-01

    A critical part of structural health monitoring is accurate detection of damages in the structure. This paper presents the results of two multi-class damage detection and identification approaches based on classification using Support Vector Machine (SVM) and Artificial Neural Networks (ANN). The article under test was a fiber composite panel modeled by a Finite Element Model (FEM). Static strain data were acquired at 6 predefined locations and mixed with Gaussian noise to simulate performance of real strain sensors. Strain data were then normalized by the mean of the strain values. Two experiments were performed for the performance evaluation of damage detection and identification. In both experiments, one healthy structure and two damaged structures with one and two small cracks were simulated with varying material properties and loading conditions (45 cases for each structure). The SVM and ANN models were trained with 70% of these samples and the remaining 30% samples were used for validation. The objective of the first experiment was to detect whether or not the panel was damaged. In this two class problem the average damage detection accuracy for ANN and SVM were 93.2% and 96.66% respectively. The objective of second experiment was to detect the severity of the damage by differentiating between structures with one crack and two cracks. In this three class problem the average prediction accuracy for ANN and SVM were 83.5% and 90.05% respectively. These results suggest that for noisy data, SVM may perform better than ANN for this problem.

  18. 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

  19. From Unwanted to Essential: Imagination, Nature and Female Connection in L.M. Montgomery's Anne of Green Gables

    OpenAIRE

    Sólrún Harpa Sveinbjörnsdóttir 1992

    2016-01-01

    This thesis aims to explain the use of imagination, nature, need for human connection, and female independence in the character of Anne Shirley. She is the main character of one of children‘s literature most enduring novels, Anne of Green Gables. The novel‘s author, L.M. Montgomery created the character of Anne as a role model for young readers, mostly because the author herself did not grow up with any independent, female literary characters. As a result, Anne becomes the manifestation of th...

  20. DESINGING OF ANN BASED SPEED CONTROLLER FOR PHASE CONTROLLED DC MOTOR

    Directory of Open Access Journals (Sweden)

    MR. M.V.SUDARSAN

    2011-07-01

    Full Text Available For electrical drives good dynamic performance is mandatory so as to respond to the changes in command speed and torques, so various speed control techniques are being used for real time applications. The speed of a dc motor can be controlled using various controllers like PI- Controller, Artificial Neural Network (ANNcontroller. ANN theory is recently getting increasing emphasis in process control applications. The paper describes application of ANN in a speed control system that uses a phase-controlled bridge converter and aseparately excited DC machine. The ANN controller for current and speed loops are implemented in MATLAB/SIMULINK, replacing the conventional Proportional-Integral (PI control method. The simulationstudy indicates the superiority of artificial neural network control over the conventional control methods. This control seems to have a lot of promise in the applications of power electronics.

  1. 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.

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

    Science.gov (United States)

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

    2013-11-01

    Ann Kelley was a scientific pioneer in reward neuroscience. Her many notable discoveries included demonstrations of accumbens/striatal circuitry roles in eating behavior and in food reward, explorations of limbic interactions with hypothalamic regulatory circuits, and additional interactions of motivation circuits with learning functions. Ann Kelley's accomplishments inspired other researchers to follow in her footsteps, including our own laboratory group. Here we describe results from several lines of our research that sprang in part from earlier findings by Kelley and colleagues. We describe hedonic hotspots for generating intense pleasure 'liking', separate identities of 'wanting' versus 'liking' systems, a novel role for dorsal neostriatum in generating motivation to eat, a limbic keyboard mechanism in nucleus accumbens for generating intense desire versus intense dread, and dynamic limbic transformations of learned memories into motivation. We describe how origins for each of these themes can be traced to fundamental contributions by Ann Kelley. PMID:23261404

  3. Modelling and automatic reactive power control of isolated wind-diesel hybrid power systems using ANN

    International Nuclear Information System (INIS)

    This paper presents an artificial neural network (ANN) based approach to tune the parameters of the static var compensator (SVC) reactive power controller over a wide range of typical load model parameters. The gains of PI (proportional integral) based SVC are optimised for typical values of the load voltage characteristics (nq) by conventional techniques. Using the generated data, the method of multi-layer feed forward ANN with error back propagation training is employed to tune the parameters of the SVC. An ANN tuned SVC controller has been applied to control the reactive power of a variable slip/speed isolated wind-diesel hybrid power system. It is observed that the maximum deviations of all parameters are more for larger values of nq. It has been shown that initially synchronous generator supplies the reactive power required by the induction generator and/or load, and the latter reactive power is purely supplied by the SVC

  4. 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.

  5. Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers.

    Science.gov (United States)

    Rajaee, Taher

    2011-07-01

    In this research, a new wavelet artificial neural network (WANN) model was proposed for daily suspended sediment load (SSL) prediction in rivers. In the developed model, wavelet analysis was linked to an artificial neural network (ANN). For this purpose, daily observed time series of river discharge (Q) and SSL in Yadkin River at Yadkin College, NC station in the USA were decomposed to some sub-time series at different levels by wavelet analysis. Then, these sub-time series were imposed to the ANN technique for SSL time series modeling. To evaluate the model accuracy, the proposed model was compared with ANN, multi linear regression (MLR), and conventional sediment rating curve (SRC) models. The comparison of prediction accuracy of the models illustrated that the WANN was the most accurate model in SSL prediction. Results presented that the WANN model could satisfactorily simulate hysteresis phenomenon, acceptably estimate cumulative SSL, and reasonably predict high SSL values. PMID:21546062

  6. 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...

  7. 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.

  8. 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.

  9. Dale Townshend, Angela Wright (eds), Ann Radcliffe, Romanticism and the Gothic

    OpenAIRE

    Talairach-Vielmas, Laurence

    2015-01-01

    1764 marked both the publication of the first Gothic story, Horace Walpole’s The Castle of Otranto (1764), and the birth of one of the most popular Gothic writers of the romantic period—Ann Radcliffe. 250 years later, Ann Radcliffe, Romanticism and the Gothic, edited by Dale Towshend and Angela Wright, freshly re-examines Radcliffe’s work, looking at the impact and reception of her œuvre and its relationship to the Romantic literary and cultural contexts. If the Gothic was considered as low m...

  10. 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...

  11. 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..

  12. 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.

  13. 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...

  14. 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.

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

    Directory of Open Access Journals (Sweden)

    Supriyanto

    2009-05-01

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

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

    Science.gov (United States)

    Kopf, Hedda Rosner

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

  17. 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.

  18. 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);…

  19. 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.

  20. 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

  1. 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…

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

    Science.gov (United States)

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

    2015-01-01

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

  3. 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…

  4. Techniques of Artificial Intelligence Network (Ann) and Applıed to Radiology

    OpenAIRE

    SERHATLIOĞLU, Selami; HARDALAÇ, Fırat

    2009-01-01

    Artifical Neural Network (ANN) have been begin by using in various field and worked to build by developing of computer process to smilar thing of human. In this cases, Introducing of Neural network techniques were aimed to composed of estimation on relationship ideas by using radiology.

  5. 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

  6. 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.

  7. 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...

  8. 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)

  9. 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

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

    Science.gov (United States)

    Kothari, Mahesh; Gharde, K. D.

    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.

  11. 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...

  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. 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…

  15. 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…

  16. 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.

  17. [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

  18. 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

  19. 76 FR 36151 - Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI

    Science.gov (United States)

    2011-06-21

    ... National Park Service Notice of Inventory Completion: Museum of Anthropology, University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The Museum of Anthropology... affiliated with the human remains may contact the Museum of Anthropology, University of...

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

    OpenAIRE

    ETEM KÖKLÜKAYA

    1997-01-01

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

  1. REGIME IDENTIFICATION OF SLURRY TRANSPORT IN PIPELINES - A NOVEL MODELING APPROACH USING ANN AND DIFFERENTIAL EVOLUTION

    Directory of Open Access Journals (Sweden)

    SANDIP KUMAR LAHIRI

    2010-12-01

    Full Text Available Four distinct regimes were found existent (namely sliding bed, saltation, heterogeneous suspension and homogeneous suspension in slurry flow in pipelines depending upon the average velocity of flow. In the literature, few correlations have been proposed for identification of these regimes in slurry pipelines. Regime identification is important for slurry pipeline design as they are the prerequisite for applying different pressure drop correlations in different regimes. How¬ever, the available correlations fail to predict the regime over a wide range of conditions. Based on a databank of around 800 measurements collected from the open literature, a method has been proposed to identify the regime using ar¬tificial neural network (ANN modeling. The method incorporates hybrid artificial neural network and differential evolution technique (ANN-DE for efficient tuning of ANN Meta parameters. Statistical analysis showed that the proposed method has an average misclassification error of 0.03%. A comparison with selected cor-relations in the literature showed that the developed ANN-DE method noticeably improved prediction of regime over a wide range of operating conditions, physical properties, and pipe diameters.

  2. 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... authority to determine whether to issue notices of exemption under 49 U.S.C. 10502 for lease and operation... for lease and operation of the rail line at issue in this case. The Board determines that this...

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

    Science.gov (United States)

    Agatonovic-Kustrin, S; Beresford, R

    2000-06-01

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

  4. 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...

  5. 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...

  6. 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

  7. 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

  8. 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.

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

    International Nuclear Information System (INIS)

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

  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. 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

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. Identification of Constitutive Parameters Using Inverse Strategy Coupled to an ANN Model

    International Nuclear Information System (INIS)

    This paper deals with the identification of material parameters using an inverse strategy. In the classical methods, the inverse technique is generally coupled with a finite element code which leads to a long computing time. In this work an inverse strategy coupled with an ANN procedure is proposed. This method has the advantage of being faster than the classical one. To validate this approach an experimental plane tensile and bulge tests are used in order to identify material behavior. The ANN model is trained from finite element simulations of the two tests. In order to reduce the gap between the experimental responses and the numerical ones, the proposed method is coupled with an optimization procedure to identify material parameters for the AISI304. The identified material parameters are the hardening curve and the anisotropic coefficients

  18. Identification of Constitutive Parameters Using Inverse Strategy Coupled to an ANN Model

    Science.gov (United States)

    Aguir, H.; Chamekh, A.; BelHadjSalah, H.; Hambli, R.

    2007-05-01

    This paper deals with the identification of material parameters using an inverse strategy. In the classical methods, the inverse technique is generally coupled with a finite element code which leads to a long computing time. In this work an inverse strategy coupled with an ANN procedure is proposed. This method has the advantage of being faster than the classical one. To validate this approach an experimental plane tensile and bulge tests are used in order to identify material behavior. The ANN model is trained from finite element simulations of the two tests. In order to reduce the gap between the experimental responses and the numerical ones, the proposed method is coupled with an optimization procedure to identify material parameters for the AISI304. The identified material parameters are the hardening curve and the anisotropic coefficients.

  19. 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

  20. 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...

  1. 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.

  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. 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...

  4. 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 ...

  5. #IWD2016 Book review: unfinished business: women men work family by Anne-Marie Slaughter

    OpenAIRE

    Slaughter, Anne-Marie

    2016-01-01

    Is it really possible to ‘have it all’? In Unfinished Business: Women Men Work Family, Anne-Marie Slaughter unravels the ‘half truths’ that lie behind this claim, examining how the struggle to manage increasingly incompatible life and work pressures remains particularly potent for women due to the continued gendering of caregiving. Drawing upon her own experiences, Slaughter calls for us to forge a more meaningful and mutually beneficial relationship between work and family. Unfinished Busine...

  6. 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...

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

    OpenAIRE

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

    2013-01-01

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

  8. 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.

  9. 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,

  10. Modelling the spectral irradiance distribution in sunny inland locations using an ANN-based methodology

    International Nuclear Information System (INIS)

    This work is aimed at verifying that in sunny inland locations artificial intelligence techniques may provide an estimation of the spectral irradiance with adequate accuracy for photovoltaic applications. An ANN (artificial neural network) based method was developed, trained and tested to model the spectral distributions between wavelengths ranging from 350 to 1050 nm. Only commonly available input data such as geographical information regarding location, specific date and time together with horizontal global irradiance and ambient temperature are required. Historical information from a 24-month experimental campaign carried out in Jaén (Spain) provided the necessary data to train and test the ANN tool. A Kohonen self-organized map was used as innovative technique to classify the whole input dataset and build a small and representative training dataset. The shape of the spectral irradiance distribution, the in-plane global irradiance (GT) and irradiation (HT) and the APE (average photon energy) values obtained through the ANN method were statistically compared to the experimental ones. In terms of shape distribution fitting, the mean relative deformation error stays below 4.81%. The root mean square percentage error is around 6.89% and 0.45% when estimating GT and APE, respectively. Regarding HT, errors lie below 3.18% in all cases. - Highlights: • ANN-based model to estimate the spectral irradiance distribution in sunny inland locations. • MRDE value stay below 4.81% in spectral irradiance distribution shape fitting. • RMSPE is about 6.89% for the in-plane global irradiance and 0.45% for the average photon energy. • Errors stay below 3.18% for all the months of the year in incident irradiation terms. • Improvement of assessment of the impact of the solar spectrum in the performance of a PV module

  11. Anne Stiles, Popular Fiction and Brain Science in the Late Nineteenth Century

    OpenAIRE

    Talairach-Vielmas, Laurence

    2013-01-01

    Late-Victorian Gothic romances often dealt with allusions and references to neurology, and even featured mad scientists experimenting on patients and turning them into automata they could control like expert puppet-masters. The connections between late-Victorian popular literature and neurological research were, indeed, strong, as Anne Stiles’s Popular Fiction and Brain Science in the Late Nineteenth Century makes explicit. Gothic romances, such as those by Robert Louis Stevenson, Bram Stoker...

  12. Mary Ann Borina Radovich: Croatian Apple Farmer, Watsonville, California, 1918-1977

    OpenAIRE

    Regional History Project, UCSC Library; Radovich, Mary Ann Borina; Knaster, Meri

    2004-01-01

    This oral history, conducted with Mary Ann Borina Radovich on June 7 and June 22, 1977, focuses on Radovich's extensive experience as an apple farmer in Watsonville, California from the 1930s to the 1970s. It is also a significant contribution to the ethnic history of the Croatian community in the Pajaro Valley of California. In this oral history Radovich discusses her family's history and their emigration to the United States. She describes the early apple industry in Watsonville, a...

  13. Ann Laura Stoler, Along the archival grain; Epistemic anxieties and colonial common sense.

    Directory of Open Access Journals (Sweden)

    Henk Schulte Nordholt

    2009-12-01

    Full Text Available In this new feature we highlight a recently launched book. We invite specialists in the field to comment on the book, and we invite the author to respond to their comments. In this issue we focus on Ann Stoler’s Along the archival grain; Epistemic anxieties and colonial common sense. Those invited to comment on the book are Frances Gouda, Remco Raben and Henk Schulte Nordholt. Registered readers may participate in the debate.

  14. Ann Laura Stoler, Along the archival grain; Epistemic anxieties and colonial common sense.

    OpenAIRE

    Henk Schulte Nordholt; Remco Raben; Frances Gouda; Ann Laura Stoler

    2009-01-01

    In this new feature we highlight a recently launched book. We invite specialists in the field to comment on the book, and we invite the author to respond to their comments. In this issue we focus on Ann Stoler’s Along the archival grain; Epistemic anxieties and colonial common sense. Those invited to comment on the book are Frances Gouda, Remco Raben and Henk Schulte Nordholt. Registered readers may participate in the debate.

  15. Eleanor Anne Porden's Coeur de Lion (1822): History, Epic and Romance

    OpenAIRE

    Johns-Putra, A

    2012-01-01

    This article examines the medievalist epic Coeur de Lion (1822), by Eleanor Anne Porden (1795-1825). The author reads this poem not simply for the way it draws on exhaustive research, but for the way it treats this research, invoking yet sidestepping the demands of historical accuracy. Specifically, Porden grapples with the challenges of representing Britain's chivalric past, exploring whether to adopt the feminized trappings of romance or to align herself with the objectivity of historical e...

  16. 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

  17. Performance analysis of a hybrid photovoltaic thermal double pass air collector using ANN

    International Nuclear Information System (INIS)

    This paper presents the use of artificial neural network for performance analysis of a semi transparent hybrid photovoltaic thermal double pass air collector for four weather conditions (a, b, c and d type) of New Delhi. The MATLAB 7.1 neural networks toolbox has been used for defining and training of ANN for calculations of thermal energy, electrical energy, overall thermal energy and overall exergy. The ANN model uses ambient air temperature, global solar radiation, diffuse radiation and number of clear days as input parameters for four weather conditions. The transfer function, neural network configuration and learning parameters have been selected based on highest convergence during training and testing of network. About 2000 sets of data from four weather stations (Bangalore, Mumbai, Srinagar, and Jodhpur) have been given as input for training and data of the fifth weather station (New Delhi) has been used for testing purpose. It has been observed that the best transfer function for a given configuration is lag's. The feed forward back-propagation algorithm has been used in this analysis. Further the results of ANN model have been compared with analytical values on the basis of root mean square error. (authors)

  18. Exploration of artificial neural network [ANN] to predict the electrochemical characteristics of lithium-ion cells

    International Nuclear Information System (INIS)

    CoO anode, as an alternate to the carbonaceous anodes of lithium-ion cells has been prepared and investigated for electrochemical charge-discharge characteristics for about 50 cycles. Artificial neural networks (ANNs), which are useful in estimating battery performance, has been deployed for the first time to forecast and to verify the charge-discharge behavior of lithium-ion cells containing CoO anode for a total of 50 cycles. In this novel approach, ANN that has one input layer with one neuron corresponding to one input variable, viz., cycles [charge-discharge cycles] and a hidden layer consisting of three neurons to produce their outputs to the output layer through a sigmoid function has been selected for the present investigation. The output layer consists of two neurons, representing the charge and discharge capacity, whose activation function is also the sigmoid transfer function. In this ever first attempt to exploit ANN as an effective theoretical tool to understand the charge-discharge characteristics of lithium-ion cells, an excellent agreement between the calculated and observed capacity values was found with CoO anodes with the best fit values corresponding to an error factor of <1%, which is the highlight of the present study

  19. 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

  20. 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)

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

    Directory of Open Access Journals (Sweden)

    Gholamreza Asadollahfardi

    2013-08-01

    Full Text Available Considering the significance of the Sodium Adsorption Ratio (SAR for growing plants, its prediction is essential for water quality management for irrigation. The SAR prediction in Chelghazy River in Kurdistan, northwest of Iran, using an Artificial Neural Network (ANN was studied. The study applied the Multilayer Perceptron (MLP of the ANN to average monthly data, which was collected by the water authority of the Kurdistan province for the period of 1998-2009. The input parameters of the MLP network was pH, discharge, sulfate, sodium, calcium, chloride, magnesium and bicarbonate, and output was predictive of the SAR. The results showed a correlation coefficient 0.976 between actual and predicted SAR, which means the accuracy of the model is acceptable. The model uses the input parameters to predict the SAR at the same month. The sensitivity analysis indicated the prediction of the SAR was affected by merely pH and calcium. As a whole, the MLP of the ANN may be applicable for prediction of the SAR which is necessary parameter ration for agriculture.

  2. 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.

  3. 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)

  4. 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.

  5. The vibration signal analyzer using fourier transformation and ANN (ViSFoTA) package

    International Nuclear Information System (INIS)

    Seismic waves travelling from the source of a seismic event such as an earthquake or an underground nuclear explosion to different seismic stations installed throughout the world contain the signatures of the path and the source. ViSFoTA is a SW package, developed to do the analysis of earthquakes and underground nuclear explosions. It consists of two components - the pre and post processor for seismic data and the artificial neural network (ANN) module. A seismologist can select a window of interest from a given seismogram and synthesis several waveforms whose spectral amplitudes are the same as the given seismogram. These synthesised waveforms can be used to train an ANN for detecting seismic signal in a seismogram. It can also synthesis test data for testing the performance of the ANN. Though the package has been developed primarily for applications in seismology, it can also be used to perform analysis of time series generated by vibrations or electrical signals in different frequency bands. The sources of the signals may be as divergent as acoustic emission data of a sample test or medical instrument data of the diagnosis of a patient

  6. 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.  

  7. 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

  8. 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.

  9. '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.

  10. '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.

  11. Assessment of the biological health of streams on the Patuxent Research Refuge within Anne Arundel County, Maryland.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report discusses the biological conditions of streams located within the North Track of the Patuxent Research Refuge Refuge. Over the last 7 years, Anne...

  12. 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...

  13. PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks

    CERN Document Server

    Agarwal, Shankar; Feldman, Hume A; Lahav, Ofer; Thomas, Shaun A

    2013-01-01

    In this paper we introduce PkANN, a freely available software package for interpolating the non-linear matter power spectrum, constructed using Artificial Neural Networks (ANNs). Previously, using Halofit to calculate matter power spectrum, we demonstrated that ANNs can make extremely quick and accurate predictions of the power spectrum. Now, using a suite of 6380 N-body simulations spanning 580 cosmologies, we train ANNs to predict the power spectrum over the cosmological parameter space spanning $3\\sigma$ confidence level (CL) around the concordance cosmology. When presented with a set of cosmological parameters ($\\Omega_{\\rm m} h^2, \\Omega_{\\rm b} h^2, n_s, w, \\sigma_8, \\sum m_\

  14. Assessment of AnnAGNPS model capacity to simulate ephemeral gullies initiation and development

    Science.gov (United States)

    Chahor, Youssef; Giménez, Rafael; Casalí, Javier

    2015-04-01

    The relatively recent recognition of the importance of ephemeral gully erosion in agricultural fields in Europe explains that so far only a few mathematical models have included algorithms to simulate this type of concentrated flow erosion. Precisely, a conceptual and numerical framework was recently incorporated in the Annualized Agricultural Non-Point Source (AnnAGNPS) model to simulate gully initiation and development in order to assess the impact of gully erosion (sediment production) on management practices at watershed scale. More precisely, the Compound Topographic Index (CTI) approach was integrated within the existing AnnAGNPS GIS interface in order to identify the Potential Ephemeral Gully (PEG) mouth throughout a watershed. In addition, the Tillage-Induced Ephemeral Gully Erosion Model (TIEGEM) was also incorporated into AnnAGNPS to estimate ephemeral gully development. The aim of this work was to assess the capability of AnnAGNPS for predicting (i) PEG location and (ii) gully erosion rate and gully geometry. The study was carried out in the region of Pitillas (southern Navarre, Spain; under continental Mediterranean climate), in several field sites cultivated with wheat. First, thirty-one EGs observed in the fields and depicted in aerial photographs were taken as references. A DEM of the study area (5 x 5 m) was processed using AGNPS ArcView interface to determine the CTI values of each raster grid. Then, seven cumulative percentage values of CTI thresholds (94%, 95%, 96%, 97%, 98%, 99% and 99.5%) were used to create seven potential scenarios of PEG mouths locations in the study area. These scenarios were compared with the reference EGs. The CTI cumulative percentage thresholds of 95% presented the best performance in predicting EGs locations. However, the accuracy of the CTI approach notably decreased in low slope areas. On the other hand, four EGs developed and surveyed in the same study area -in different years between 1996 and 2001- were used to

  15. 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...

  16. Artificial Neural Network (ANN) of Simultaneous Heat and Mass Transfer Model during Reconstitution of Gari Granules into Thick Paste

    OpenAIRE

    S.S. Sobowale; S. O. Awonorin; T. A. Shittu; E. S. A. Ajisegiri

    2014-01-01

    Artificial neural network (ANN) based model of transient simultaneous heat and mass transfer was used for the prediction of some thermo-physical during reconstitution of gari into thick paste. Temperature changes in the paste and moisture losses were recorded over a period of two hours while the granules are being reconstituted. Data on convective heat and mass transfer coefficients were obtained during reconstitution of gari into paste. In developing the ANN model, several configurations wer...

  17. 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.

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

    Directory of Open Access Journals (Sweden)

    Evelyne Cohen

    2004-09-01

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

  19. 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.

  20. Improvement of temperature-based ANN models for solar radiation estimation through exogenous data assistance

    International Nuclear Information System (INIS)

    The development of new and more precise temperature-based models for solar radiation estimation is decisive, given the immediacy and simplicity associated to their input measurements and the ubiquitous problems derived from equipment failures, maintenance and calibration, and physical and biological constraints. Further, the performance quality of empirical equations is to be questioned in a large variety of climatic contexts. As an alternative to traditional techniques, artificial neural networks (ANNs) are highly appropriate for the modelling of non-linear processes. Nevertheless, temperature-based ANN models do not always provide accurate enough solar radiation estimations as their performance depends considerably on the specific temperature/solar radiation relationships of the studied context. This paper describes a new procedure to improve the performance accuracy of temperature-based ANN models for estimation of total solar radiation on a horizontal surface (Rs) taking advantage of ancillary data records from secondary similar stations, which work as exogenous inputs. The influence on the model performance of the number of considered ancillary stations and the corresponding number of training patterns is also analyzed. Finally, these models are compared with those relying exclusively on local temperature recordings. The proposed models provide performances with lower associated errors than those which do not consider exogenous inputs. The ancillary supply is translated into a decrease around 0.1 of RMSE in the local performance. The consideration of non-measured inputs in the simple local temperature-based models, namely extraterrestrial radiation or day of the year, entails a performance accuracy improvement around 0.1 of RMSE.

  1. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-06-01

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

  3. AN ANN BASED APPROACH FOR OPTIMAL PLACEMENT OF DSTATCOM FOR VOLTAGE SAG MITIGATION

    Directory of Open Access Journals (Sweden)

    D.K. TANTI,

    2011-02-01

    Full Text Available Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents an Artificial Neural Network (ANN based approach for optimal placement of Distribution Static Compensator (DSTATCOM to mitigate voltage sag under faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK software. Optimal location of DSTATCOM has been obtained using a feed forward neural network trained by post-fault voltage magnitude of three phases at different buses. Case studies have been performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement has been established.

  4. Internal Model Controller of an ANN Speed Sensorless Controlled Induction Motor Drives

    Science.gov (United States)

    Hamed Mouna, Ben; Lassaad, Sbita

    This study deals with the performance analysis and implementation of a robust sensorless speed controller. The robustness is guaranteed by the use of the Internal Model Controller (IMC). An intelligent algorithm is evolved to eliminate the mechanical speed. It is based on the Artificial Neural Network (ANN) principle. Verification of the proposed robust sensorless controller is provided by experimental realistic tests on a scalar controlled induction motor drive. Sensorless robust speed control at low speeds and in field weakening region (high speeds) is studied in order to show the robustness of the speed controller under a wide range of load.

  5. 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...

  6. 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

  7. 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.

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

    OpenAIRE

    Delgado Marín, Candela

    2015-01-01

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

  9. 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.

  10. 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.

  11. An ANN Based Capicitor Voltage Balancing Method For Neutral Point Clamped Multi-Level Inverter

    Directory of Open Access Journals (Sweden)

    P.J.S. Praveen,

    2015-11-01

    Full Text Available Multi-level inverters are became popular for usage in medium voltage, low voltage power applications due to flexibility in control and better performance characteristics in terms of harmonic regulation. Neutral point clamped are popular as they require less number of sources as their input when compared with their counter parts i.e. cascaded multi-level inverters and found to be reliable when compared with flying capacitor based multi-level inverters. But when neutral clamped technologies are used for generation of three-phase voltages, the capacitors that are connected at input side experiences imbalance in their voltages, this makes neutral point clamped multi-level inverters less reliable. In the proposed work an attempt is made to study circuits that balances the capacitor voltages and a scheme is investigated for balancing the capacitor voltages. Method proposed in [1] uses PID controller for balancing the capacitor voltages. In this project PI based control scheme and artificial neural network (ANN based control scheme for the front end circuit shown in [1] are designed for achieving balance among the capacitor voltages. The proposed control scheme is simulated with the help of Simpowersystems block set and neural network toolbox of MATLAB software for different load conditions. Results obtained from ANN based controller and PI controller are presented.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. QSPR modeling of soil sorption coefficients (K(OC)) of pesticides using SPA-ANN and SPA-MLR.

    Science.gov (United States)

    Goudarzi, Nasser; Goodarzi, Mohammad; Araujo, Mario Cesar Ugulino; Galvão, Roberto Kawakami Harrop

    2009-08-12

    A quantitative structure-property relationship (QSPR) study was conducted to predict the adsorption coefficients of some pesticides. The successive projection algorithm feature selection (SPA) strategy was used as descriptor selection and model development method. Modeling of the relationship between selected molecular descriptors and adsorption coefficient data was achieved by linear (multiple linear regression; MLR) and nonlinear (artificial neural network; ANN) methods. The QSPR models were validated by cross-validation as well as application of the models to predict the K(OC) of external set compounds, which did not contribute to model development steps. Both linear and nonlinear methods provided accurate predictions, although more accurate results were obtained by the ANN model. The root-mean-square errors of test set obtained by MLR and ANN models were 0.3705 and 0.2888, respectively. PMID:19722589

  18. 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.

  19. Assessment of maximum likelihood (ML) and artificial neural network (ANN) algorithms for classification of remote sensing data

    Science.gov (United States)

    Gupta, R. K.; Prasad, T. S.; Vijayan, D.; Balamanikavelu, P. M.

    Due to mix-up of contributions from varied features on the ground surface, getting back of individual feature in remote sensing data using pattern recognition techniques is an ill-defined inverse problem. By placing maximum likelihood (ML) constraint, the available operational softwares classify the image. Without placing any parametric constraint, the image could also be classified using artificial neural networks (ANN). As GIS overlay, developed professionally by forest officials, was available for Antilova reserve forest in Andhra Pradesh, India (170 50^' to 170 56^' N, 810 45^' to 810 54^' E), the IRS-1C LISS-III image of February 11, 1999 was used for assessing the limits of classification accuracy attainable from ML and ANN classifiers. In ML classifier, full GIS overlay was used to give training sets over whole of the image (approach `a') and in approach `b', a priori probability (normally taken equal for all the classes in operational softwares) was assigned (in addition to full spectral signature) based on the fraction areas under each class in GIS overlay. Under such ideal situation of inputs, the achieved accuracy, i.e. Kappa coefficients were 0.709 and 0.735 for approaches `a' and `b' , respectively (called iteration `0'). Using fraction area under each class in the classified output to assign a priori probability for the next iteration, the convergence (within 2% variation) was achieved for 2nd and 3rd iterations with Kappa coefficient values of 0.773 and 0.797 for approaches `a' and `b', respectively. The non-attaining of 100% classification accuracy under ideal inputs situation could be due to assumption of guassian distribution in spectral signatures. In back propagation technique based ANN classifier, spectral signatures for training were identified from GIS overlay. The number of learning iterations were 20,000 with momentum and learning rate of 0.7 and 0.25, respectively. With one hidden layer the Kappa coefficient for ANN classifier was 0

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

    Directory of Open Access Journals (Sweden)

    SHU Fu-hua

    2007-08-01

    Full Text Available 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.

  1. 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.

  2. MLR and ANN models of significant wave height on the west coast of India

    Science.gov (United States)

    Asma, Senay; Sezer, Ahmet; Ozdemir, Ozer

    2012-12-01

    Multiple linear regression (MLR) and artificial neural network (ANN) models are used in the present work to describe the significant wave height off Goa, located in the west Indian coast. A comparison study was carried out with the purpose of verifying when the artificial neural network and multiple linear regression models are appropriate for prediction of the significant wave height. Discussions of advantages and disadvantages are given in different point of view for both the methods. Several meteorological factors are used during the analysis and the ones affecting more to the model are kept. We concluded that non-linear models with wind speed and wind gust at a previous time step and air pressure, water temperature and air temperature at the same time step yield to better significant wave height models.

  3. Prediction of Daily Concentration of Carbon Monoxide based on PCA-ANN

    Directory of Open Access Journals (Sweden)

    Saeed Almasi

    2015-01-01

    Full Text Available Air pollution crisis is one of the gifts of industrial and technological development. It is increasing with population growth, urbanity, and consumption of fossil fuels. Air pollution crisis put the people who inhabit in polluted areas in danger. Although senior government managers have already done a lot of affairs to inhibit production and decrease the risks of all kinds of pollutants, they should survey the research issues relating to the solution of air pollution crisis at first to control and anticipate the amount of pollutant indexes. In this paper, the effects of PCA (principle component analysis on the efficiency of two kinds of Artificial Neural Network (MLP, ANFIS are studied to anticipate the daily density of CO in the weather of Tehran city. This research shows that the decrease in many variables and the recognition of effective variables on ANN improve performance neural network training speed.

  4. 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...

  5. 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...

  6. 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...

  7. 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

  8. 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.

  9. 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.

  10. 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

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

    Directory of Open Access Journals (Sweden)

    Naiara Barbosa Carvalho

    2013-12-01

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

  12. 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

  13. 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

  14. 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...

  15. 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.

  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. 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...

  18. 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.

  19. 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

  20. 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.

  1. Visit of Mme Anne-Marie Comparini, President of the Rhône-Alpes regional authority.

    CERN Multimedia

    Patrice Loïez

    2001-01-01

    Photo 11: Signature of the Guests Book by Mr Jean Pépin, Président du Conseil général de l'Ain, on the occasion of the visit of Mrs Anne-Marie Comparini, Présidente du Conseil régional de Rhones-Alpes and Mr Ernest Nycollin, Président du Conseil général de la Haute-Savoie, at SM18. Here with Prof. Luciano Maiani, CERN Director General. Photo 18: Technicians and engineers of the Rhone-Alpes/CERN programme(PRAC) at SM18 on the occasion of the visit of Mrs Anne-Marie Comparini, Présidente du Conseil régional de Rhones-Alpes. From l. to r.:Prof. Luciano Maiani, Directeur General, CERN; Mr Ernest Nycollin, Président du Conseil général de la Haute-Savoie; Mrs Anne-Marie Comparini, Présidente du Conseil régional de Rhones-Alpes; Mr Jean Pépin, Président du Conseil général de l'Ain. Photo 20 : Mrs Anne-Marie Comparini, Présidente du Conseil régional de Rhones-Alpes during her visit at SM18 with technicians and engineers of the Rhone-Alpes/CERN programme (PRAC).

  2. 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...

  3. 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.

  4. Histoire et textes de l’Espagne tardo-antique (bibliographie des années 2003-2007

    Directory of Open Access Journals (Sweden)

    Jacques ELFASSI

    2011-12-01

    Full Text Available Bibliographie sélective sur l’histoire et les textes de l’Espagne tardo-antique, limitée aux travaux des années 2003-2007.Bibliografía selectiva sobre la historia y los textos de la España tardoantigua, limitada a los años 2003-2007.

  5. 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

  6. 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

  7. 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.

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

    DEFF Research Database (Denmark)

    Elias, Camelia

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

  9. 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.

  10. 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.

  11. 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

  12. 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.

  13. 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…

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

    Science.gov (United States)

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

    2016-07-01

    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

  15. 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

  16. 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

  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. 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"

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

    Index Scriptorium Estoniae

    Suuster, Elsa, 1984-

    2009-01-01

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

  20. Prediction of the Rock Mass Diggability Index by Using Fuzzy Clustering-Based, ANN and Multiple Regression Methods

    Science.gov (United States)

    Saeidi, Omid; Torabi, Seyed Rahman; Ataei, Mohammad

    2014-03-01

    Rock mass classification systems are one of the most common ways of determining rock mass excavatability and related equipment assessment. However, the strength and weak points of such rating-based classifications have always been questionable. Such classification systems assign quantifiable values to predefined classified geotechnical parameters of rock mass. This causes particular ambiguities, leading to the misuse of such classifications in practical applications. Recently, intelligence system approaches such as artificial neural networks (ANNs) and neuro-fuzzy methods, along with multiple regression models, have been used successfully to overcome such uncertainties. The purpose of the present study is the construction of several models by using an adaptive neuro-fuzzy inference system (ANFIS) method with two data clustering approaches, including fuzzy c-means (FCM) clustering and subtractive clustering, an ANN and non-linear multiple regression to estimate the basic rock mass diggability index. A set of data from several case studies was used to obtain the real rock mass diggability index and compared to the predicted values by the constructed models. In conclusion, it was observed that ANFIS based on the FCM model shows higher accuracy and correlation with actual data compared to that of the ANN and multiple regression. As a result, one can use the assimilation of ANNs with fuzzy clustering-based models to construct such rigorous predictor tools.

  1. 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

  2. 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)

  3. ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.

    Science.gov (United States)

    Singh, Nandita; Chakrapani, G J

    2015-08-01

    The present study explores for the first time the possibility of modelling sediment concentration with artificial neural networks (ANNs) at Gangotri, the source of Bhagirathi River in the Himalaya. Discharge, rainfall and temperature have been considered as the main controlling factors of variations in sediment concentration in the dynamic glacial environment of Gangotri. Fourteen feed forward neural networks with error back propagation algorithm have been created, trained and tested for prediction of sediment concentration. Seven models (T1-T7) have been trained and tested in the non-updating mode whereas remaining seven models (T1a-T7a) have been trained in the updating mode. The non-updating mode refers to the scenario where antecedent time (previous time step) values are not used as input to the model. In case of the updating mode, antecedent time values are used as network inputs. The inputs applied in the models are either the variables mentioned above as individual factors (single input networks) or a combination of them (multi-input networks). The suitability of employing antecedent time-step values as network inputs has hence been checked by comparative analysis of model performance in the two modes. The simple feed forward network has been improvised with a series parallel non-linear autoregressive with exogenous input (NARX) architecture wherein true values of sediment concentration have been fed as input during training. In the glacial scenario of Gangotri, maximum sediment movement takes place during the melt period (May-October). Hence, daily data of discharge, rainfall, temperature and sediment concentration for five consecutive melt periods (May-October, 2000-2004) have been used for modelling. High Coefficient of determination values [0.77-0.88] have been obtained between observed and ANN-predicted values of sediment concentration. The study has brought out relationships between variables that are not reflected in normal statistical analysis. A

  4. 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.

  5. 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.

  6. 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.

  7. 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.     .

  8. 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?

  9. 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

  10. 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.

  11. [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

  12. Radiological zoning of a nuclear medicine department: Example of the military hospital Sainte-Anne

    International Nuclear Information System (INIS)

    According to the ministerial order of May 15, 2006 (transposition of the EURATOM directive 96/29 from May 13, 1996), each person in charge of a medical institution is compelled to classify the working areas dealing with sources of ionizing radiation. The approach to the delineation of radiological areas should appear in an internal document combining the analysis of heath risks. Without waiting for the publication of the official guidelines as announced in the notice DGT/ASN no. 1 of January 18, 2008 and in accordance with the above mentioned order, we have already formalized the different steps towards a zoning in the new nuclear medicine department in the Military Hospital Ste Anne of Toulon by using a detailed methodology to measure exposition and contamination levels. The methodology is largely based on measurements and consideration of normal envelopes. Analysis of integrated doses over an hour in a room can ultimately determine radiological areas. We apply the new recommended values to define the different classified zones according to their specificity and discuss this new way of assessment of exposure risks as well as the consequences on the different staff categories concerned. (authors)

  13. 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

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

    Directory of Open Access Journals (Sweden)

    S. S. Abuthakeer

    2011-06-01

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

  15. Application of ann for predicting water quality parameters in the mediterranean sea along gaza-palestine

    International Nuclear Information System (INIS)

    Seawater pollution problems are gaining interest world wide because of their health impacts and other environmental issues. Intense human activities in areas surrounding enclosed and semi-enclosed seas such as the Mediterranean Sea always produce in the long term a strong environmental impact in the form of coastal and marine degradation. This paper is concerned with the use of ANNs (Artificial Neural Networks) MLP ( Multilayer Perceptron) model for the prediction of pH and EC (Electrical Conductivity) in water quality parameters along Gaza city coast. MLP neural networks are trained and developed with reference to three major oceanographic parameters (water temperature, wind speed and turbidity) to predict the values of pH and EC; these parameters are considered as inputs of the neural network. The data collected comprised of four years and collected from nine locations along Gaza coastline. Results show that the model has high capability and accuracy in predicting both parameters. The network performance has been validated with different data sets and the results show satisfactory performance. Results of the developed model have been compared with multiple regression statistical models and found that MLP predictions are slightly better than the conventional methods. Prediction results prove that the proposed approach is suitable for modeling the water quality in the Mediterranean Sea along Gaza. (author)

  16. 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.

  17. Jews As The Victims Of Fascism As Reflected In Anne Frank’s Novel “The Diary Of Young Girl”

    OpenAIRE

    Annisa, Irma

    2015-01-01

    This thesis which is entitled Jews as the Victims of Fascism as Reflected in Anne Frank’s Novel the Diary of Young Girl is an analysis about the experience of Anne Frank, a girl who lives in the era of Adolf Hitler leads German. Anne Frank is a daughter of Jews who hides from the chase of German Nazi which is leaded by Adolf Hitler who embraces ideology of Fascism. Several Hitler’s programs are to pursue and eliminate Jews people who live in German and countries which are lived by German. Thi...

  18. 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...

  19. Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN)

    International Nuclear Information System (INIS)

    In this study, the results of 1-year efficiency forecasting using artificial neural networks (ANN) models of a moving bed biofilm reactor (MBBR) for a toxic and hard biodegradable aniline removal were investigated. The reactor was operated in an aerobic batch and continuous condition with 50% by volume which was filled with light expanded clay aggregate (LECA) as carrier. Efficiency evaluation of the reactors was obtained at different retention time (RT) of 8, 24, 48 and 72 h with an influent COD from 100 to 4000 mg/L. Exploratory data analysis was used to detect relationships between the data and dependent evaluated one. The appropriate architecture of the neural network models was determined using several steps of training and testing of the models. The ANN-based models were found to provide an efficient and a robust tool in predicting MBBR performance for treating aromatic amine compounds.

  20. La philosophie espagnole des années 1900-1930, une philosophie poétique ?

    OpenAIRE

    Lacau St Guily, Camille

    2015-01-01

    Bien qu’elle n’ait jamais été reconnue comme telle, une tradition philosophique a existé en Espagne dans les années 1900-1930, mais portée par des hommes que l’on n’a pas identifiés comme philosophes. Cet article montre que l’Espagne a connu une forte tradition de philosophie si l’on ouvre la République philosophique universelle au profil hybride de « philosophes-poètes ». Dans les années 1900-1930, la philosophie espagnole fut une philosophie poétique, une anthropologie poétique, portée entr...

  1. 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.

  2. 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.

  3. Ann Laura Stoler, Along the Archival Grain. Epistemic Anxieties and Colonial Common Sense, Princeton, Princeton University Press, 2009, 314 p.

    OpenAIRE

    Chevalier, Clara

    2013-01-01

    Cet ouvrage propose une approche renouvelée des archives coloniales qui remet en question certaines idées fondamentales sur la nature des empires coloniaux. À contre-courant de la « fiction » d'un État colonial omniscient, la lecture des sources que met en œuvre l'historienne et anthropologue états-unienne Ann Stoler révèle, en s'appuyant sur le cas des Indes néerlandaises des années 1830 à 1930, une gouvernance coloniale fondée sur des savoirs lacunaires, dominée par l'incertitude et préoccu...

  4. Perspective and framing in Ann Radcliffe’s "The mysteries of Udolpho" and in the work of Caspar David Friedrich

    OpenAIRE

    Quinteiro, Sílvia Moreno de Jesus e

    2006-01-01

    This article is a comparison between the works of Ann Radcliffe and Caspar David Friedrich based on the analysis of the relationship that is established between the observer and the landscape, as well as on the ways of representing this relationship, namely by analysing the selected perspectives and framings. In this paper, we focus on compositional and organizational strategies of landscape, and also on thematology, as it represents an inescapable way of approaching both these works.

  5. 5)THE MYSTERIES OF UDOLPHO: ANN RADCLIFFE'S “GOTHIC” EUTOPIA FOR THE FEMALE OF THE EIGHTEENTH CENTURY

    OpenAIRE

    Koç, Ertuğrul; GÜVENÇ, Özge

    2015-01-01

    If interpreted from the historical, Marxist, and feminist viewpoints, Ann Radcliffe in The Mysteries of Udolpho can be said to have depicted the historical progression from the feudal to the capitalist order, with the position of woman in this transformation constituting the central theme of the novel. Radcliffe sees the old system as a form of Apollonian (rational and well-organized) order, while she associates the new system with the Dionysian (irrational and chaotic) disorder. In such an o...

  6. 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...

  7. 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...

  8. Assessment of Runoff and Sediment Yields Using the AnnAGNPS Model in a Three-Gorge Watershed of China

    OpenAIRE

    Hongwei Nan; Lizhong Hua; Xiubin He; Yongping Yuan

    2012-01-01

    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. Th...

  9. “Prowling The Meanings: Anne Carson’s Doubtful Forms” and “The Traitor’s Symphony”

    OpenAIRE

    Thorp, Jennifer

    2015-01-01

    ABSTRACT: This thesis uses four works by the contemporary Canadian poet Anne Carson (born 1950) to argue that it is in the embracing of failure and difficulty that modern poetics may negotiate formal erosion and the limits of language. The introduction addresses Carson’s divisive reputation, and uses two separate criticisms of her poetic skill to delineate her liminal position in the modern poetic landscape, and therefore demonstrate her potential as a valuable framework for discussing inno...

  10. Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model

    International Nuclear Information System (INIS)

    Converting measured horizontal global solar irradiance in tilted ones is a difficult task, particularly for a small time-step and for not-averaged data. Conventional methods (statistical, correlation, …) are not always efficient with time-step less than one hour; thus, we want to know if an ANN (Artificial Neural Network) is able to realize this conversion with a good accuracy when applied to 5-min solar radiation data of Bouzareah, Algeria. The ANN is developed and optimized using two years of solar data; the nRMSE (relative root means square error) is around 8% for the optimal configuration, which corresponds to a very good accuracy for such a short time-step. - Highlights: • ANN (Artificial Neural Network) methodology applied to 5-min global solar irradiation in order to estimate tilted irradiations. • Model validation with more than 75,000 data. • 8.81% for the RMSE (root means square error) and around 6.63% for the nMAE (normalized mean absolute error). • Solar radiation models with such a fine time step are rare

  11. 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.

  12. 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.

  13. 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

  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. 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

  16. 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...

  17. 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...

  18. Rezension zu: Anne Kolb, Joachim Fugmann, Tod in Rom. Grabinschriften als Spiegel römischen Lebens (Mainz 2008)

    OpenAIRE

    Probst, Peter

    2011-01-01

    Das vorliegende Buch von Anne Kolb (Zürich) und Joachim Fugmann (Konstanz) beinhaltet eine Sammlung von 58 Grabinschriften aus der Stadt Rom samt den dazugehörigen Monumenten, die als „charakteristische Beispiele ihrer Gattung“ (9) fungieren und einen Überblick über die ganze Bandbreite römischer Inschriftenkultur liefern. Reich bebildert und mit ausführlichen Begleittexten versehen erfüllt das Werk gleich zwei grundlegende Funktionen: Zum einen kann es vom Leser als Handbuch genutzt werden, ...

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

    OpenAIRE

    Heinz-Jürgen Voß

    2013-01-01

    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...

  20. 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

  1. La production sociologique de « l’exclusion sociale » en France (années 1970-1990)

    OpenAIRE

    Lafarge, Géraud

    2015-01-01

    La sociologie de « l’exclusion sociale » est une spécialité qui trouve sa principale raison d’être dans le champ politique où a été collectivement produit par des forces politiques, associatives, confessionnelles, médiatiques et européennes, avec sa collaboration, le nouveau « problème social » de « l’exclusion ». Dans les années 70, les discours sur la pauvreté restent le fait d’un petit milieu de hauts fonctionnaires réformateurs, d’intellectuels et de chercheurs minoritaires inscrits dans ...

  2. Ann Laura Stoler, La Chair de l’empire. Savoirs intimes et pouvoirs raciaux en régime colonial

    OpenAIRE

    Goerg, Odile

    2014-01-01

    Sous l’impulsion de l’Institut Émilie du Chatelet, Carnal Knowledge and Imperial Power : Race and the Intimate in Colonial Rule (Berkeley, University of California Press, 2002) vient d’être traduit en français et publié par La Découverte, premier ouvrage de cette auteure prolifique et novatrice à être ainsi offert aux lecteurs francophones. Comment recevoir cette belle traduction une décennie après son édition originale, alors même qu’Ann Stoler continue d‘avancer d’un bon pas, creusant le mê...

  3. 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...

  4. Basemap Framework Submission for Butler County, NE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

  5. 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.

  6. 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

  7. 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

  8. 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.

  9. Modeling daily reference ET in the karst area of northwest Guangxi (China) using gene expression programming (GEP) and artificial neural network (ANN)

    Science.gov (United States)

    Wang, Sheng; Fu, Zhi-yong; Chen, Hong-song; Nie, Yun-peng; Wang, Ke-lin

    2015-08-01

    Nonlinear complexity is a characteristic of hydrologic processes. Using fewer model parameters is recommended to reduce error. This study investigates, and compares, the ability of gene expression programming (GEP) and artificial neural network (ANN) techniques in modeling ET0 by using fewer meteorological parameters in the karst area of northwest Guangxi province, China. Over a 5-year period (2008-2012), meteorological data consisting of maximum and minimum air temperature, relative humidity, wind speed, and sunshine duration were collected from four weather stations: BaiSe, DuAn, HeChi, and RongAn. The ET0 calculated by the FAO-56 PM equation was used as a reference to evaluate results for GEP, ANN, and Hargreaves models. The coefficient of determination (R 2) and the root mean square error (RMSE) were used as statistical indicators. Evaluations revealed that GEP, and ANN, can be used to successfully model ET0. In most cases, when using the same input variables, ANN models were superior to GEP. We then established ET0 equations with fewer parameters under various conditions. GEP can produce simple explicit mathematical formulations which are easier to use than the ANN models.

  10. 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.

  11. 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

  12. 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.

  13. Optoelectronic performance and artificial neural networks (ANNs) modeling of n-InSe/p-Si solar cell

    Science.gov (United States)

    Darwish, A. A. A.; Hanafy, T. A.; Attia, A. A.; Habashy, D. M.; El-Bakry, M. Y.; El-Nahass, M. M.

    2015-07-01

    Nanostructure thin film of InSe deposited on p-Si single crystal to fabricate n-InSe/p-Si heterojunction. Electrical and photoelectrical have been studied by the current density-voltage (J-V). The fabricated cell exhibited rectifying characteristics. Analyzing the results of dark forward J-V shows that there are differrent conduction mechanisms. At low voltages, the current density is controlled by a Schottky emission mechanism. While at a relatively high voltage, a space charge-limited-conduction mechanism is observed with a single trap level. The cell also exhibited a photovoltaic characteristic with a power conversion efficiency of 3.42%. Moreover, artificial neural networks (ANNs) are adopted to model the J-V through the obtained functions. Different network configurations and many runs were trying to achieve good performance and finally obtained the current density, J, as a function of the junction temperature, T, and applied voltage, V. In all cases studied, we compared our obtained functions produced by the ANN technique with the corresponding experimental data and the excellent matching was so clear.

  14. 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

  15. 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.

  16. 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

  17. 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

  18. 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...

  19. 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.

  20. The love marriage : challenging Victorian myths in Anne Brontë's 'The Tenant of Wildfell Hall'

    OpenAIRE

    Estañol Lamarca, Montse; Martín Alegre, Sara

    2015-01-01

    La tesina analitza com Anne Brontë desafia el mite del casament romàntic a la novel·la The Tenant of Wildfell Hall. Argumento que aquesta crítica es fa mostrant les conseqüències nefastes d'un matrimoni (entre l'Arthur i l'Helen) basat en l'atracció i en la idea que una dona pot salvar un home de mala vida. Malgrat que la novel·la acaba amb un altre casament (entre l'Helen i en Gilbert), si s'analitza en detall es pot veure que presenta elements subversius. Per exemple, la seva unió està basa...

  1. Estimating sediment, nitrogen, and phosphorous loads from the Pipestem Creek watershed, North Dakota, using AnnAGNPS

    Science.gov (United States)

    Pease, Lyndon M.; Oduor, P.; Padmanabhan, G.

    2010-03-01

    Agricultural pollution is a significant problem in North Dakota. Water quality in the Pipestem Creek watershed upstream of Pingree, North Dakota, USA, has been a major environmental concern amongst other adjacent watersheds within the region. The annualized agricultural non-point source (AnnAGNPS) model, a large-scale watershed model designed to predict sediment and nutrient loads, was used to evaluate non-point source pollution in a typical agricultural watershed. The best available data were assembled and used in the analysis. The model predicted runoff of 0.31 m 3/s, compared to a measured value of 0.46 m 3/s. A poor correlation was observed when comparing the model's predicted nitrogen, phosphorus, and sediment with the observed counterparts. The model's poor performance was most likely a result of the large size of the study area and the high variability in land use and management practices.

  2. 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.

  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. 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.

  5. 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.

  6. 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...

  7. 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.

  8. 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

  9. 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

  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. 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)

  12. "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.

  13. 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

  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. Artificial neural network (ANN) modeling of adsorption of methylene blue by NaOH-modified rice husk in a fixed-bed column system.

    Science.gov (United States)

    Chowdhury, Shamik; Saha, Papita Das

    2013-02-01

    In this study, rice husk was modified with NaOH and used as adsorbent for dynamic adsorption of methylene blue (MB) from aqueous solutions. Continuous removal of MB from aqueous solutions was studied in a laboratory scale fixed-bed column packed with NaOH-modified rice husk (NMRH). Effect of different flow rates and bed heights on the column breakthrough performance was investigated. In order to determine the most suitable model for describing the adsorption kinetics of MB in the fixed-bed column system, the bed depth service time (BDST) model as well as the Thomas model was fitted to the experimental data. An artificial neural network (ANN)-based model was also developed for describing the dynamic dye adsorption process. An extensive error analysis was carried out between experimental data and data predicted by the models by using the following error functions: correlation coefficient (R(2)), average relative error, sum of the absolute error and Chi-square statistic test (χ(2)). Results show that with increasing bed height and decreasing flow rate, the breakthrough time was delayed. All the error functions yielded minimum values for the ANN model than the traditional models (BDST and Thomas), suggesting that the ANN model is the most suitable model to describe the fixed-bed adsorption of MB by NMRH. It is also more rational and reliable to interpret dynamic dye adsorption data through a process of ANN architecture. PMID:22562342

  16. Artificial Neural Network (ANN) design for Hg-Se interactions and their effect on reduction of Hg uptake by radish plant

    International Nuclear Information System (INIS)

    The tendency of selenium to interact with heavy metals in presence of naturally occurring species has been exploited for the development of green bioremediation of toxic metals from soil using Artificial Neural Network (ANN) modeling. The cross validation of the data for the reduction in uptake of Hg(II) ions in the plant R. sativus grown in soil and sand culture in presence of selenium has been used for ANN modeling. ANN model based on the combination of back propagation and principal component analysis was able to predict the reduction in Hg uptake with a sigmoid axon transfer function. The data of fifty laboratory experimental sets were used for structuring single layer ANN model. Series of experiments resulted into the performance evaluation based on considering 20% data for testing and 20% data for cross validation at 1,500 Epoch with 0.70 momentums The Levenberg-Marquardt algorithm (LMA) was found as the best of BP algorithms with a minimum mean squared error at the eighth place of the decimal for training (MSE) and cross validation. (author)

  17. Irena E. Kotowska, Anna Matysiak, Marta Styrc, Ariane Pailhé, Anne Solaz and Daniele Vignoli: Second European Quality of Life Survey

    OpenAIRE

    Kuchařová, Věra

    2011-01-01

    BOOK REVIEW: Irena E. Kotowska, Anna Matysiak, Marta Styrc, Ariane Pailhé, Anne Solaz and Daniele Vignoli: Second European Quality of Life Survey: Family Life and Work. Dublin 2010: European Foundation for the Improvement of Living and Working Conditions, 85 pp.

  18. 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

  19. 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. PMID:24097559

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

    International Nuclear Information System (INIS)

    Sulfidogenic treatment of sulfate (2-10 g/L) and zinc (65-677 mg/L) containing simulated wastewater was studied in a mesophilic (35 deg. 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 2 g/L feed sulfate concentration, steadily decreased with increasing feed sulfate concentration and reached 40% at 10 g/L. Over 99% Zn removal was attained due to the formation of zinc-sulfide precipitate. COD removal efficiency at 2 g/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 5 g/L or lower. Electron flow from carbon oxidation to sulfate reduction averaged 83 ± 13%. The rest of the electrons were most likely coupled with fermentative reactions as the amount of methane production was insignificant. The developed ANN model was very successful as an excellent to reasonable match was obtained between the measured and the predicted concentrations of sulfate (R = 0.998), COD (R = 0.993), acetate (R = 0.976) and zinc (R = 0.827) in the CSTR effluent

  1. 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

  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. 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.

  4. « 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...

  5. 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.

  6. 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...

  7. Preliminary Study on Application of Artificial Neural Networks (ANN) for Determining the Peroxide Value of Three Commercial Palm Oil Based FTIR Spectrum)

    International Nuclear Information System (INIS)

    Peroxide value is one of the measurements that being used to determine the peroxide in oil samples produce from the peroxide compound and hydroperoxide group at the primary level of lipid oxidation. In this study, 3 commercial palm cooking oils were selected and labeled as A, B and C. Two different conditions were applied to the samples. First, the oil sample was exposed to the air for three months (labeled as A) while samples B and C were used for frying for many times. Two inputs from FTIR spectra (3444 cm-1 and 3450 cm-1) were chosen for the ANN training. The suitable architecture for this training is 2:20:1. The prediction made by ANN was very accurate and compatible to the result which obtained from the standard method. A low average error (0.48) was obtained when the hidden neuron (20) and the epochs (300) were used. (author)

  8. 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

  9. 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

  10. Vision, fiction and depiction : the forms and functions of visuality in the novels of Jane Austen, Ann Radcliffe, Maria Edgeworth and Fanny Burney

    OpenAIRE

    Volz, Jessica A.

    2014-01-01

    There are many factors that contributed to the proliferation of visual codes, metaphors and references to the gendered gaze in women’s fiction of the late-eighteenth and early-nineteenth centuries. This thesis argues that the visual details in women’s novels published between 1778 and 1815 are more significant than scholars have previously acknowledged. My analysis of the oeuvres of Jane Austen, Ann Radcliffe, Maria Edgeworth and Fanny Burney shows that visuality — the nexus between the v...

  11. 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...

  12. 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)

  13. 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

  14. 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"

  15. [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 ...

  16. 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

  17. 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 %.

  18. 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

  19. 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.

  20. 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.

  1. Prediction of the likely impact of climate change on monthly mean maximum and minimum temperature in the Chaliyar river basin, India, using ANN-based models

    Science.gov (United States)

    Chithra, N. R.; Thampi, Santosh G.; Surapaneni, Sujith; Nannapaneni, Revanth; Reddy, A. Ashok Kumar; Kumar, J. Dinesh

    2015-08-01

    In this work, an approach based on Artificial Neural Networks (ANN) has been employed to assess the likely impact of climate change on mean monthly maximum and minimum temperature ( T max and T min) in the Chaliyar river basin, Kerala, India. ANN is trained to downscale temperature from the General Circulation Model (GCM) from a coarser resolution to the required resolution of the river basin. The work aims to estimate the GCMs' output to the scales compatible with that employed in a hydrologic model of the river basin. In order to satiate this purpose, predictor variables were obtained from the National Centre for Environmental Prediction and National Centre for Atmospheric Research (NCEP/NCAR) reanalysis data; this was utilized for training the ANN using a feed-forward network with a back-propagation algorithm. These models were validated further and used to downscale CGCM3 GCM simulations for the scenarios outlined in the IPCC Special Report on Emission Scenarios (SRES). Results showed that both T max and T min are increasing consistently in all the scenarios. T max exhibited an average increase of maximum 3 °C during the dry season (December-May) and 1 °C during the wet season (June-November) by the year 2100, while T min showed an average increase of 2.5 °C in the dry season and 0.5 °C in the wet season.

  2. 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

  3. 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.

  4. 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"

  5. Hoffmann fecit / Anne Lõugas

    Index Scriptorium Estoniae

    Lõugas, Anne, 1951-

    2002-01-01

    Oskar Hoffmanni loomingu ülevaatenäituse saateks korraldatud loeng-kontsertidest. O. Hoffmanni 1890. aastatel maalitud tööst "Talumees tubakakarbiga" (õli puul). "Väikese inimese" toomisest kunsti - valdkonnast, kus O. Hoffmanni looming puutub Rembrandti omaga kokku

  6. 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

  7. 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

  8. 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

  9. Maakunst Rakveres / Anne Kokkov

    Index Scriptorium Estoniae

    Kokkov, Anne

    2001-01-01

    Rahvusvaheline kunstirühmitus "The Circle" korraldab 5. augustini Rakveres V maakunstisümpoosioni. Osalejad on Eestist, Rootsist, Saksamaalt ja Venemaalt, nende seas rahvusvaheliselt tuntud kunstnikud Susan Walke ja Hans "Limbus" Tjörneryd, kes loob Rakvere kohal õhuskulptuuri.

  10. Kopli impressionism / Anne Vetik

    Index Scriptorium Estoniae

    Vetik, Anne

    2006-01-01

    Kunstiteadlase Marioni ja Tõnise 2006. a. valminud kuuetoaline korter Koplis Angerja trammipeatuse juures asuvas Stalini-aegses majas, kus varem asusid Tallinna Tehnikaülikooli auditooriumid ja arhiiv. Korter on sisustatud peamiselt Eestis valmistatud mööbliga. 8 värv. ill

  11. Rahvusvahelised korporatsioonid / Ann Doherty

    Index Scriptorium Estoniae

    Doherty, Ann

    2001-01-01

    Rahvusvaheliste korporatsioonide tegevuse jälgimine ja neilt vastutuse nõudmine on aasta-aastalt muutunud raskemaks, kuna korporatsioonid on liitunud, muutnud nimesid ja loonud lähedasi sidemeid poliitiliste institutsioonidega

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. ANN Model for Predicting the Impact of Submerged Aquatic Weeds Existence on the Hydraulic Performance of Branched Open Channel System Accompanied by Water Structures

    International Nuclear Information System (INIS)

    The existence of hydraulic structures in a branched open channel system urges the need for considering the gradually varied flow criterion in evaluating the different hydraulic characteristics in this type of open channel system. Computations of hydraulic characteristics such as flow rates and water surface profiles in branched open channel system with hydraulic structures require tremendous numerical effort especially when the flow cannot be assumed uniform. In addition, the existence of submerged aquatic weeds in this branched open channel system adds to the complexity of the evaluation of the different hydraulic characteristics for this system. However, this existence of aquatic weeds can not be neglected since it is very common in Egyptian open channel systems. Artificial Neural Network (ANN) has been widely utilized in the past decade in civil engineering applications for the simulation and prediction of the different physical phenomena and has proven its capabilities in the different fields. The present study aims towards introducing the use of ANN technique to model and predict the impact of submerged aquatic weeds existence on the hydraulic performance of branched open channel system. Specifically the current paper investigates a branched open channel system that consists of main channel supplies water to two branch channels that are infested by submerged aquatic weeds and have water structures such as clear over fall weirs and sluice gates. The results of this study showed that ANN technique was capable, with small computational effort and high accuracy, of predicting the impact of different infestation percentage for submerged aquatic weeds on the hydraulic performance of branched open channel system with two different hydraulic structures

  20. A cycle of terms implicit in the idea of medicine: Karen Ann Quinlan as a rhetorical icon and the transvaluation of the ethics of euthanasia.

    Science.gov (United States)

    Kenny, Robert Wade

    2005-01-01

    In this article, I examine competing characterizations of Karen Ann Quinlan's life and the role these characterizations played in shaping public attitudes toward euthanasia and medicine in America. I discuss the reasons Quinlan's coma brought forth radically contrasted narratives about who she was by applying Burke's (1961) cycle of terms implicit in the idea of order. I compare the manner in which traditional life-sanctity advocates spoke about her with the narratives and counternarratives offered by the family and the social innovators who would challenge those traditionalist assumptions. PMID:15590340

  1. 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.

  2. 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.

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

    OpenAIRE

    Heinz-Jürgen Voß

    2013-01-01

    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...

  4. 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.

  5. 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...

  6. 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

  7. 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.

  8. 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.

  9. 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

  10. 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.

  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. Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model

    International Nuclear Information System (INIS)

    Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market.

  13. Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model

    International Nuclear Information System (INIS)

    Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market. (author)

  14. Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model

    Energy Technology Data Exchange (ETDEWEB)

    Koutroumanidis, Theodoros [Department of Agricultural Development, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada (Greece); Ioannou, Konstantinos [Laboratory of Forest Informatics, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Box 247, 54 124 Thessaloniki (Greece); Arabatzis, Garyfallos [Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 68200 Orestiada (Greece)

    2009-09-15

    Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market. (author)

  15. 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

  16. Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake

    Directory of Open Access Journals (Sweden)

    Chuan Luo

    2015-09-01

    Full Text Available The application of hydrological and water quality models is an efficient approach to better understand the processes of environmental deterioration. This study evaluated the ability of the Annualized Agricultural Non-Point Source (AnnAGNPS model to predict runoff, total nitrogen (TN and total phosphorus (TP loading in a typical small watershed of a hilly region near Taihu Lake, China. Runoff was calibrated and validated at both an annual and monthly scale, and parameter sensitivity analysis was performed for TN and TP before the two water quality components were calibrated. The results showed that the model satisfactorily simulated runoff at annual and monthly scales, both during calibration and validation processes. Additionally, results of parameter sensitivity analysis showed that the parameters Fertilizer rate, Fertilizer organic, Canopy cover and Fertilizer inorganic were more sensitive to TN output. In terms of TP, the parameters Residue mass ratio, Fertilizer rate, Fertilizer inorganic and Canopy cover were the most sensitive. Based on these sensitive parameters, calibration was performed. TN loading produced satisfactory results for both the calibration and validation processes, whereas the performance of TP loading was slightly poor. The simulation results showed that AnnAGNPS has the potential to be used as a valuable tool for the planning and management of watersheds.

  17. 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

  18. 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

  19. Les températures extrêmes de l’année 2003 dans le Nord-Est français et ses bordures luxembourgeoise et allemande

    OpenAIRE

    Drogue, Gilles; Hoffmann, Lucien; Pfister, Laurent; Paul, Patrice

    2009-01-01

    Les valeurs de températures extrêmes quotidiennes (Tn et Tx) enregistrées au cours de l’année 2003 sont analysées pour plus de cinquante stations de mesure climatologiques réparties sur le Nord-Est français et sur la bordure frontalière. Dans un premier temps les moyennes annuelles de températures extrêmes de l’année 2003 sont positionnées par rapport à la normale climatique 1971-2000 et la décennie 1991-2000, marquée par une succession d’années chaudes. L’épisode de chaleur estival est ensui...

  20. Facteurs prédictifs de succès des étudiants en première année de médecine à l'université de Parakou

    Science.gov (United States)

    Adoukonou, Thierry; Tognon-Tchegnonsi, Francis; Mensah, Emile; Allodé, Alexandre; Adovoekpe, Jean-Marie; Gandaho, Prosper; Akpona, Simon

    2016-01-01

    Introduction Plusieurs facteurs dont les notes obtenues au BAC peuvent influencer les performances académiques des étudiants en première année de médecine. L'objectif de cette étude était d’évaluer la relation entre les résultats des étudiants au BAC et le succès en première année de médecine. Méthodes Nous avons réalisé une étude analytique ayant inclus l'ensemble des étudiants régulièrement inscrits en première année à la Faculté de Médecine de l'université de Parakou durant l'année académique 2010-2011. Les données concernant les notes par discipline et mention obtenue au BAC ont été collectées. Une analyse multivariée utilisant la régression logistique et la régression linéaire multiple a permis d’établir les meilleurs prédicteurs du succès et de la moyenne de l’étudiant en fin d'année. Le logiciel SPSS version 17.0 a été utilisé pour l'analyse des données et un p 15/20 était associée au succès (OR: 2,8 [1,32- 6,00]). Pour la moyenne générale obtenue en fin d'année seule une mention bien obtenue au BAC était associée (coefficient de l'erreur standard: 0,130 Bêta =0,370 et p=0,00001). Conclusion Les meilleurs prédicateurs du succès en première année étaient une bonne moyenne en sciences physiques au BAC et une mention bien. La prise en compte de ces éléments dans le recrutement des étudiants en première année pourrait améliorer les résultats académiques.

  1. Rédiger, s’exprimer, produire. Écrire à l’école primaire dans les années 1990

    OpenAIRE

    Quet, François

    2010-01-01

    Parmi les éléments avancés pour expliquer la place prise par l’écriture d’invention dans les programmes, André Petitjean et Alain Viala insistent sur le rôle des innovations pédagogiques dans les années 1970. Développées en marge du système, étayées par les recherches sur l’apprentissage de l’écriture, elles ont apporté « la preuve que savoir écrire est une compétence qui peut faire l’objet d’un apprentissage et d’un enseignement et que l’invention se travaille » (p. 27). Ainsi située « en ré...

  2. Evolution du marché mondial du blé au cours des cinquante dernières années

    OpenAIRE

    Terrones Gavira, François; Burny, Philippe

    2012-01-01

    Née concrètement en 1962, la Politique Agricole Commune (PAC) célèbre ses cinquante ans d'existence en 2012. Mais la PAC se trouve aussi à la veille d'un nouveau tournant à partir de 2014, avec une Union européenne passée de six à vingt-huit membres. Dans le même temps, notre planète a enregistré, depuis les années 60, une véritable explosion démographique et un développement économique sans précédent. De plus, la population mondiale, qui vient de franchir le cap des sept milliards, devrait d...

  3. A relação sujeito observador/ paisagem em The Mysteries of Udolpho de Ann Radcliffe e na obra de Caspar David Friedrich

    OpenAIRE

    Quinteiro, Sílvia Moreno de Jesus e

    1998-01-01

    Este estudo consiste numa análise comparativa entre The Mysteries of Udolpho de Ann Radcliffe e a obra pictórica de Caspar David Friedrich. A comparação foi feita ao nível da relação que se estabelece nestas duas obras entre o sujeito observador e a paisagem, e tem como objectivo, para além de comprovar a pertinência desta aproximação, revelar de que modo sujeito e paisagem contribuem para a construção um do outro. O estudo encontra-se dividido em três capítulos nos quais se dá conta, resp...

  4. A Woman Leaving Twice to Arrive: The Journey as Quest for a Gendered Diasporic Identity in Anne Devlin’s After Easter

    Directory of Open Access Journals (Sweden)

    Mária Kurdi

    2010-03-01

    Full Text Available Nowadays the joint themes of living at the borderland of cultures and responding to the pressures which emerge during the necessary re-formation of identity are treated in an increasing number of literary works. The subject of the present paper is Anne Devlin’s After Easter, a drama which uses the trope of the journey to fuse the constraints of exilic existence with narratives of gender, race and generational tension. My analysis explores how Greta, questor of a new diasporic identity, manages to reinterpret conflicting images and discourses as she confronts them on revisiting her original home country, Troubles-ridden Northern Ireland. By the end of the journey she is able to invent her own story, intertwining concerns of origin and continuity, love of the mother(land as well as of the Other, and through that she re-constructs her identity as a self-assured migrant.

  5. 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...

  6. Les historiens français et les États-Unis dans les années 1950 et 1960

    OpenAIRE

    Bodler, Markus

    2010-01-01

    Pourquoi l’histoire américaine comme discipline académique n’a-t-elle été introduite en France qu’en 1967 ? Les tractations idéologiques pendant la guerre froide y sont-elles pour quelque chose ? L’article analyse ce que quelques-uns des historiens français ont pensé des États-Unis au courant des années 1950 et 1960, dont Jean-Baptiste Duroselle, Claude Fohlen, Lucien Febvre et Fernand Braudel. Il entend démontrer que ceux qui se considéraient comme pro-américains favorisaient l’instauration ...

  7. 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.

  8. 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 ...

  9. 24 années d’épidémie de sida dans l’archipel indonésien

    Directory of Open Access Journals (Sweden)

    Laurence Husson

    2012-10-01

    Full Text Available L’ONUSIDA dans son bilan 2007 estimait le nombre de personnes infectées par le VIH dans le monde à 33 millions, avec 2,7 millions de nouvelles contaminations et 2 millions de décès dans l’année. Si l’Afrique subsaharienne était de loin la région du monde la plus durement touchée avec 22 millions de personnes infectées, l’Asie du Sud et du Sud-Est était aussi très concernée avec 4,2 millions de personnes porteuses du virus. Au sein de cette Asie, l’Indonésie, avec 240 millions d’habitants en 2...

  10. 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...

  11. 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

  12. Mass Digitization: Implications for Information Policy: Report from "Scholarship and Libraries in Transition: A Dialogue about the Impacts of Mass Digitization Projects" Symposium (Ann Arbor, Michigan, March 10-11, 2006)

    Science.gov (United States)

    US National Commission on Libraries and Information Science, 2006

    2006-01-01

    The U.S. National Commission on Libraries and Information Science (NCLIS) sponsored the symposium "Scholarship and Libraries in Transition: A Dialogue about the Impacts of Mass Digitization Projects" in March 2006 at the University of Michigan-Ann Arbor. The symposium was organized with a keynote and several other individual presentations, as well…

  13. 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

  14. 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.

  15. 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

  16. SURVEY, City of El Dorado, Butler County, KS

    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...

  17. REMEDIATION OF LEON WATER FLOOD, BUTLER COUNTY, KANSAS

    Energy Technology Data Exchange (ETDEWEB)

    M.L. Korphage; Kelly Kindscher; Bruce G. Langhus

    2001-11-26

    The Leon Water Flood site has undergone one season of soil amendments and growth of specialized plants meant to colonize and accelerate the remediation of the salt-impacted site. The researchers characterized the impacted soil as to chemistry, added soil amendments, and planted several species of seedlings, and seeded the scarred areas. After the first growing season, the surface soil was again characterized and groundcover was also characterized. While plant growth was quite meager across the area, soil chemistry did improve over most of the two scars.

  18. Douglas Butler Uses Autograph to Explore the Geometry of Calculus

    Science.gov (United States)

    Butler, Douglas

    2012-01-01

    In short, this is a "master class". The learning and teaching of mathematics can be revolutionised with the creative use of dynamic software is an oft quoted mantra. Here, this mantra is exemplified through the documented experiences of using Autograph to enliven, to extend, and to foster the understanding of differentiation and integration. The…

  19. Butler Hollow Glades : Baseline assessment and vegetation monitoring establishment

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Several sampling and documentation protocols were implemented to establish baseline vegetation data. These data will provide a comparison point for future...

  20. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, BUTLER COUNTY, KANSAS

    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...