The (n,γ campaigns at EXILL

Directory of Open Access Journals (Sweden)

Jolie J.

2015-01-01

Full Text Available At the PF1B cold neutron beam line at the Institut Laue Langevin, the EXILL array consisting of EXOGAM, GASP and ILL-Clover detectors was used to perform (n,γ measurements at very high coincidence rates. About ten different reactions were measured in autumn 2012 using a highly collimated cold neutron beam. In spring 2013, the EXOGAM array was combined with 16 LaBr3(Ce scintillators in the EXILL&FATIMA campaign for the measurement of lifetimes using the generalised centroid difference method. We report on the properties of the set-ups and present first results from both campaigns.

Political exile and democracy Exilio político y democracia

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Luis RONIGER

2010-09-01

Full Text Available Political exile is a mechanism of institutional exclusion geared at revoking citizenship rights and removing individuals from full participation in the political and public arenas of a country. Due to its exclusionary character, the literature tends to assume a correlation between authoritarianism and exile, on the one hand, and democracy and asylum, on the other. This work challenges this view and discusses the more complex interactions between exile and democracy. Relying on qualitative case analysis of individual and massive exile and on a quantitative database of presidential exile in the nineteenth and twentieth century, it shows that also democracies generate exile and that also authoritarian countries have provided sites of exile and asylum for those fleeing from their home countries.El exilio es un mecanismo de exclusión institucional destinado a revocar el pleno uso de los derechos de ciudadanía y, más aún, prevenir la participación del exiliado/a en la arena política nacional. Por su carácter excluyente, la literatura tiende a atribuirlo a gobiernos autoritarios, así como se asume que los Estados receptores son países bajo gobiernos democráticos. Este trabajo destaca la existencia de una relación más compleja entre exilio y democracia. Con base en un análisis cualitativo de casos notorios de exilio masivo e individual y un análisis cuantitativo de exilio presidencial a lo largo de dos siglos, el artículo destaca que las democracias también generan exilio y que también los países autoritarios han constituido lugares de residencia y asilo para las personas que han tomado la ruta del exilio de sus países de origen.

Experiencing Exile : Huguenot Refugees in the Dutch Republic, 1680-1700

NARCIS (Netherlands)

van der Linden, D.C.

2013-01-01

This dissertation overturns longstanding assumptions about the experience of exile in early modern Europe. Historians usually consider religious refugees as hardliners, because they refused to conform to another faith and went into exile. Scholars have also emphasised the religious transformation of

Late style as exile: De/colonising the life course.

Science.gov (United States)

Hartung, Heike

2016-12-01

In the collection of essays On Late Style, Edward Said reflects on the new idiom achieved by great artists in their work near the end of their lives as "late style." Drawing on Adorno's essay on Beethoven's late style, Said also focuses on the aesthetic aspects of lateness. Defining the late works of artists as "a form of exile," however, Said moves beyond Adorno's aesthetic conception of late style. Highlighting the artist's abandonment of communication with the established social order, who achieves a contradictory, alienated relationship with it instead, Said compares artistic lateness with the experience of the subject in exile. Drawing on the analogy provided by Said, this article argues that the relationship between "self" and "other" in the different theoretical contexts of Postcolonial Studies and Age Studies can be usefully combined in the composite concept of "late style as exile." In order to explore how the concept of lateness correlates with that of exile, this contribution turns to theoretical and autobiographical texts by Edward Said. Copyright © 2016 Elsevier Inc. All rights reserved.

María Zambrano: a woman, a republican and a philosopher in exile

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PATRICIA PALOMAR GALDÓN

2013-09-01

Full Text Available The subject of this presentation is an attempt to understand the concept of exile in terms of the works of Spanish philosopher María Zambrano, a woman who left her country after the Spanish civil war and lived the life of an exile. This work focuses on the difficulties encountered by thinkers when they try to reflect on the experience of exile, and it aims to bring Zambrano’s thought on exile closer to her main philosophical concepts.

Kirjaniku maapagu: eksiili rõõmust ja vaevast / Writerly Exile: Anguish, Joy, and Worldliness

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Tiina Kirss

2016-09-01

Full Text Available This article begins with a consideration of the problematics of exile as viewed in the essays of Tomas Venclova and Edward Said. On the one hand, exile has implications for the creativity of the writer as an individual. On the other, a „worldly“ perspective on literature in Said`s sense insists on keeping in view the global phenomenon of the mass displacement of refugees. The task of the article is to articulate a modest number of theoretical perspectives and concepts identified in research on exile over the past few decades , as well as others that may have become exaggerated, swollen with significance, or unwieldy from overuse. Terminological issues, such as nuances of meaning between the words refugee and expatriate, emigre and exile are considered with critical focus on Said´s useful situation of these concepts. The main sections of the article are devoted respectively to the effect of exile on the language of writing, nostalgia, and connections between exile and narration. It is argued that tension between the „home“ language (or mother tongue and the language spoken in the place of exile can be a productive one, even as it may offer unforeseen alternatives, such as choosing yet a third language for creative work. Nostalgia, a „structure of feeling“, is not a necessary concomitant of exile, and can stand in multiple and complex relation to cultural understandings of loss. As Peter Fritzsche has proposed, nostalgia can also be related as to temporal ruptures , and seen as a disease of modernity. Narration, perceived by some theorists (such as Michael Seidel as endemic to the condition of exile, may not prove to be such an imperative. Such broad statements need qualification, as well as the recognition that the imbrication of storytelling and exilic journeys harks back to ancient texts: Homer`s Odyssey and the cycle of Joseph stories in the Hebrew Bible. The last part of the article examines Julia Kristeva`s paradoxical relation

Sokolský exil jako přirozený důsledek podstaty sokolství [Sokol exile as a real consequence of the Sokol essence

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Bohuslav Hodaň

2008-03-01

Full Text Available Letošní rok je jubilejním devadesátým rokem založení Československé republiky. Je to doba, kdy je vhodné vzpomenout událostí, které jsou historicky významné. Patří mezi ně i exilové hnutí, které je spojeno s několika etapami tohoto vývoje. Významnou součástí exilového hnutí byl i sokolský exil, do kterého se zapojilo velké množství členů Sokola. Nebyla to náhoda, ale logické vyústění sokolské "ideologie", logické vyústění filozofie, na jejímž základě sokolská organizace díky Tyršovi vznikla. Práce se vrací k jednotlivým etapám sokolského exilu a ukazuje vzájemnou propojenost sokolství – vlastenectví – brannost – exil. Zdůvodňuje také, proč se zabývá pouze obdobím do roku 1950. [The year 2008 is the year of the ninetieth anniversary of birth of the Czech-Slovak Republic. Since then, our state passed a very complicated and difficult development. In reaction on political events, many individuals, organizations and various movements participated on the birth and development of this state. One of these very important phenomena was the Czech-Slovak exile movement and its representative part, the exile of Sokol. In this movement, thousands of Sokol members participated. The connection of Sokol and the exile was not caused by chance or was not a result of an "ad hoc" solved situation. In all periods it was a logical consequence of content and realization of thoughts of the system, which the Sokol was bearer of. The exile activities, aversion against any non-democratic, anti-humanistic or even totalitarian tendencies were simply automatic and self-evident consequences of the Sokol "ideology" witnessed numerous changes of the political setting and underwent some changes in its own development. So, the ideology and the corresponding education were the basic presumptions of Sokol exile, manifested in the political, humanitarian as well as military sphere. The Sokol exile is not an

Language, Identity, and Exile

Science.gov (United States)

Erdinast-Vulcan, Daphna

2010-01-01

The exilic mode of being, a living on boundary-lines, produces a constant relativization of one's home, one's culture, one's language, and one's self, through the acknowledgement of otherness. It is a homesickness without nostalgia, without the desire to return to the same, to be identical to oneself. The encounter with the other which produces a…

"German Culture is where I am": Thomas Mann in Exile

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Helmut Koopmann

1982-09-01

Full Text Available Thomas Mann in exile reacted like many writers expelled from Germany: totally irritated he tried to defend his own identity by claiming that he was still the leading representative of Germany. But about 1938 a process of dissociation from Germany started which led to sharp remarks on Germany in his The Beloved Returns , to his conviction that German culture was where he lived and to the acknowledgement of America as his new home. Traces of his experience of exile, and a late answer on his separation from Germany in 1933, however, are to be found even in his incompleted novel Felix Krull which seems to have turned the disgusting experience of exile into friendly mythological light.

Ideology of Exile and Problematic of Globalization in Al Baraduni's Poetry

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Rashad Mohammed Moqbel Al Areqi

2016-05-01

Full Text Available Exile and Globalization are two postcolonial terms that reflect the reality of the communities and the influence of such terms on the lives of the people inside or outside their communities. Exile and globalization have gained special concern in the poetry of Abdullah Al Baraduni, a Yemeni poet. The article traces the influence of such terms upon the lives of Yemenis through two selected poems of Al Baraduni. Both terms would lead one of them to the other; in exile, the person would be distanced from his culture, language, tradition, religion and separated from his community, as a result, the person will be permeated by the global cultures that do not recognize any cultural or social restrictions on the other aspects of lives. Al Baraduni reflects a live picture of the Yemeni community in particular and the Arab community in general and how the person feels exiled in his/her country. Globalization makes the international communities get smaller and establishes many crossroads in their daily lives. Through these two postcolonial terms and through two poems of Al Baraduni, the article addresses these two concepts in Al Baraduni's poetry and how he depicts their influence upon the community in very attractive image, using brilliantly metaphorical images and interesting expressions that make exile and globalization as unavoidable terms in the lives of Arab people. Al Baraduni explicates the influence of exile and globalization upon the Yemeni lives in particular and the Arab world in general. It is inescapable influence reflected in all aspects of daily lives.

History’s Inconveniences and the Experiences of Exile: A Phenomenological Approach

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Bondor George

2005-06-01

Full Text Available The first part of this paper identifies and analyzes four European cultural models often taken over by Romanian philosophers in XX-th century: the Rationalist, the Romantic, the Marxist and the Existentialist ones. In order to depict the specific manner that two of these models - the romantic and the existentialist - can be found in Romanian philosophy, I shall discuss a common topic, namely the exile, understood as an „escape from history”. The second part of the paper focuses on a phenomenological approach of exile, clarifying different horizons of meaning of this phenomenon, and analyzing those experiences closely connected with the cultural phenomena of exile. The third part of the paper offers a phenomenological description of the places, instances and experiences of exile in Constantin Noica’s life and work. In this respect, I shall analyze several aspects that define the phenomena of exile as an escape from history: Noica’s personality; the mediating function of the School, of philosophy and of culture; the utopian features of The Paltinis School; the theoretical approaches of the question of history, from the denial of factual history to the construction of a different concept of historicity, which can be ultimately regarded as a metaphysical one.

The imprint of exile through the plot of the narratives

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Silvia Dutrénit Bielous

2010-06-01

Full Text Available Exile is a circumstance different from other migrations, although it resembles them in the possible insertion or alienation from the receiving society. It is with no a doubt a forced migration process which is always accompanied by an idea and an imaginary: the disappearrance of the conditions that forced to exile and thus, the return.Although it is not possible to generalize, because there is no one single experience of exile and the subjectivities that compose it are diverse, it undoubtedly produces a sensation of alienation, which can lead to the rejection of the cultural norms of society; it is part of a process of “being in one place, but thinking about another.” However, as exile is prolonged, the experience of adaptation for the different generations involved becomes diversified, communication vessels develop, feelings of inclusion, of adaptation, of attachment with the social and cultural environment that the place of refuge offered.The present text builds on testimonies of Uruguayans exiled in Mexico who have returned to their country. In their narrative, the meanings that relate to the subjective perspective that provoked the “return” to their country of origin as being viable and a palpable event are perceived. In summary, an incursion through the testimonial plot explains to what extent the return is a recovery of the space of identity longed for and the subsequent abandonment of the foreign space, in other words, it adds to the perspective of identity as a dynamic and relational construction.

Rethinking reproductive "tourism" as reproductive "exile".

Science.gov (United States)

Inhorn, Marcia C; Patrizio, Pasquale

2009-09-01

Whereas reproductive "tourism" implies leisure travel, reproductive "exile" bespeaks the numerous difficulties and constraints faced by infertile patients who are "forced" to travel globally for assisted reproduction. Given this reality, it is time to rethink the language of "reproductive tourism," replacing it with more accurate and patient-centered terms.

Slovak Shakespeare in American Exile

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Marcinčin Matúš

2017-03-01

Full Text Available Ján Vilikovský’s synthesizing monograph Shakespeare u nás (2014 is a great study; however, it does not include the whole history of translations of Shakespeare’s dramas into the Slovak language. Slovak literary and theatre studies have not reflected this theme in relation to Slovak cultural exile after the year 1945. In the present contribution, the author completes the mentioned monograph by Vilikovský, he adds and deals especially with translations written in exile by Andrej Žarnov and Karol Strmeň. He pays special attention to the fragments of translations of Shakespeare’s dramas found as a manuscript in the inheritance left after the tragic death of their author Karol Strmeň. The author reconstructs the fragments and then analyses and compares them with relevant Slovak and Czech translations of Shakespeare’s works. As a result of this study, it can be concluded that the translations by Strmeň written in a modern, cultivated, although slightly archaic Slovak language would have achieved an important position in the history of Slovak translations of Shakespeare’s drama if they had been published.

"German Culture is where I am": Thomas Mann in Exile

OpenAIRE

Helmut Koopmann

1982-01-01

Thomas Mann in exile reacted like many writers expelled from Germany: totally irritated he tried to defend his own identity by claiming that he was still the leading representative of Germany. But about 1938 a process of dissociation from Germany started which led to sharp remarks on Germany in his The Beloved Returns , to his conviction that German culture was where he lived and to the acknowledgement of America as his new home. Traces of his experience of exile, and a late answer on his se...

Austria between Utopia and Dystopia in Austrian, German, and American Post-Exile Writings

DEFF Research Database (Denmark)

Ortner, Jessica

2015-01-01

Exile, in the sense of a literal forced transgression of borders due to persecution during the time of the Nazi regime, has fostered a broad range of “post-exile writings” in which the present generation “fictionally recreat[es] the experiences of their elders” (Stern, 1994). These writings can...

Balancing the Scales: The Construction of the Exile as Countertradition in the Bible

NARCIS (Netherlands)

Wetter, A.M.|info:eu-repo/dai/nl/317370405

2010-01-01

Generally, readers have a negative idea of the Exile. Psalm 137 has fuelled the idea that this was a time of sorrow and despair. This image of the Exile influenced, for instance, Luther’s ideas on the Babylonian Captivity of the Church. The four essays in this volume deconstruct and reconstruct this

Between Home and Exile: A Reading of the Exilic Experience of the Iraqi Poet Adnan Al-Sayegh

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Ghena, Hana Khlaif

2016-01-01

This paper aims at exploring the exilic experience of the Iraqi poet, Adnan Al-Sayegh whose involuntarily departure from his homeland, Iraq, in the early 1990s made him suffer a strong sense of estrangement, nostalgia, self-fragmentation and disconnection. The paper is divided into three sections and a conclusion. Section one sheds light on the…

Exiles no More

DEFF Research Database (Denmark)

Bøss, Michael

2005-01-01

The essay argues that the poet and politician Thomas D'Arcy McGee and the novelist Mary Anne Sadlier, who edited McGee's poems after his death, contributed significantly to the acculturation of Irish Catholic immigrants in Canada and the United States.......The essay argues that the poet and politician Thomas D'Arcy McGee and the novelist Mary Anne Sadlier, who edited McGee's poems after his death, contributed significantly to the acculturation of Irish Catholic immigrants in Canada and the United States....

Self-Translation and Exile: A Study of the Cases of Ngugi Wa Thiong’o and Ariel Dorfman

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Maria Alice Gonçalves Antunes

2018-01-01

Full Text Available In this article, we focus on the trajectories of exiled writers who act as self-translators and as “individuals who act purposefully in a social context” (Palumo 2009, 9. We discuss the extent to which exile has paved the way for self-translation and also transformed those exiled writers into individuals who act as self-translators, “ambassadors, agents” (Grutman and Van Bolderen 2014, 325 in the USA, “constantly fighting […] to restore [their] significance” (Brodsky 1994, 5. For the purposes of this study, we focus on the cases of the Kenyan novelist, Ngugi wa Thiong’o and of the Argentine-Chilean-American novelist and playwright, Ariel Dorfman. Both Ngugi and Dorfman have, in different ways, been forced out of their home countries, they have sought exile in the USA, and they have written and translated into (and out of English throughout their lives. Our analysis of these two cases will use an adapted version of John Glad’s multidimensional model of the process of literary creation of exiled writers. By analyzing both these cases through an adapted version of Glad’s model, we hope to contribute to the discussion on self-translation and on exile as a fact that affects this activity directly and in different ways.

Andreas Papandreou’s Exile Politics: The First Phase (1968-1970

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Stan Draenos

2014-12-01

Full Text Available Andreas Papandreou’s exile politics, following his December 1967 release from Averoff Prison, have stereotypically been seen as simply adopting the neo-Marxist ideologies associated with the Third World national liberation movements of the era. In narrating the initial evolution of his views on the “Greek Question” in exile, this study attempts to surface the underlying dynamics responsible for radicalizing his politics in that direction. Those dynamics reflect, on the one hand, the relentless will-to-action informing Papandreou’s political persona and, on the other, the political upheavals, headlined by the protest movement against the US war in Vietnam, in which his politics were enmeshed.

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

Exiled by Definition:The Salar of Northwest China

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David SG Goodman

2005-03-01

Full Text Available The reform of state socialism came relatively late to Qinghai Province in the Northwest of the People’s Republic of China. One of Qinghai’s most dynamic groups in the social leadership of reform has been the Salar. The Salar were one of the officially recognized nationalities identified in the People’s Republic of China during the 1950s. A relatively small group of some 100,000 currently live along the upper reaches of the Yellow River, on the borders of Qinghai and Gansu Provinces. The Salar are characterised by their commitment to both Islam and China, and by their belief that they live in permanent exile, though there is considerable uncertainty about their origins. The evidence of recent research in Qinghai suggests the perspective of being Chinese citizens, yet a people in exile, significantly shapes recent Salar social and economic activism.

The Philosophy of War and Exile : From the Humanity of War to the Inhumanity of Peace

NARCIS (Netherlands)

Gertz, Nolen

2014-01-01

Arguing that the suffering of combatants is better understood through philosophy than psychology, as not trauma, but exile, this book investigates the experiences of torturers, UAV operators, cyberwarriors, and veterans to reveal not only the exile at the core of becoming a combatant, but the

Travel and exile. From Ovidio to Camões: Filinto, Garrett and Herculano

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Maria Fernanda de Abreu

2016-07-01

Full Text Available Travel, in exile forced situation, provides images of identity, personal and collective representations, that literature has transmitted throughout its history. In this essay, we refer to models that in the so-called “Western Lit­erature” comes from Homer and Ovid, and that in the Portuguese one are updated by, among others, Luís de Camões, Filinto Elíseo e Almeida Gar­rett; a case study shows us the use of the topic of storm in exile writing, in the romantic Alexandre Herculano work.

Exil et réinvention de l’identité chez Edward W. Said

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Franca Sinopoli

2016-01-01

Full Text Available Cet essai propose une relecture de l'autobiographie de Said, en indiquant ses thèmes principaux (l'exil, l'identité, histoire individuelle et Histoire collective et en suggérant le lien avec d'autres textes de l’auteur, y compris l’Entretien avec Ari Shaviz. This article proposes a reading of Said’s autobiography, stating its main themes (exile, identity, individual story and collective History and suggesting a link with other his texts, including the Interview with Ari Shaviz

Memoria y retorno del exilio republicano catalán (Memory and Return of the Catalan Republican Exile

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Roser Pujadas Comas d'Argemir

2004-01-01

Full Text Available The end of the Spanish Civil War in 1939 meant that many republicans went into exile fleeing Francoism. In the case of intellectuals and writers from Catalunia, exile constituted the only means of ensuring the continuity of their culture, given the cultural and linguistic repression by the dictatorship. Much later than they had expected, some were able to return but, after so many years, return meant yet another rupture; it meant returning to a country no longer the one so often remembered and yearned for. Such events, as is often the case in turbulent historical periods, generated a need to bear witness to the individual and collective experiences, which in literary terms translated into a considerable volume of testimonial works – which continue to be published – by those who suffered this war and exile. As we shall see, memory becomes a kind of con-suelo – comfort - countering the ruptures with a sense of coherence and continuity. For one who has had to leave their country, the land of their birth becomes part of the past, so that in such cases to make present what is far, to remember, involves not only temporal but also spatial issues. When the exile (if such a thing is possible returns, time inexorably has passed. But what happens with the space re-encountered? In the case of two testimonial texts written by two republicans on their return from exile in Mexico – Al cap de 26 anys (1972 by Avel-lí Artís-Gener and Viatge a l’esperanca (1973, by Artur Bladé Desumvila – we propose to analyse the pattern woven between memory, homeland and return by the experience of exile. We shall see how the return, intended to contrast the idealised country with that in which the exile finds him/herself again, gives rise to a series of reflections about homeland and memory as the foundations of the exile’s identity.

[Freud in the journals of the German speaking exile].

Science.gov (United States)

May, Ulrike

2006-01-01

Freud and psychoanalysis figure frequently in exile journals. This paper documents two letters to the editor written by Alexander Freud who denied that his brother Sigmund had been a zionist, and the recollections of the sculptor Königsberger who had made a bust of Freud in 1920.

The Endless Reading of Interpretation? Said, Auerbach, and the Exilic Will to Criticism

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Guilan Siassi

2005-03-01

Full Text Available In this paper I consider how Edward Said elaborates his concept of exile—as both a physical displacement and as a hermeneutical situation or mode of critical activity—in a transhistorical dialogue with Erich Auerbach. In his efforts to delineate the interrelation between cultural discourses and historical ‘regimes of knowledge,’ Said shows intellectual exile (which gives rise to secular criticism to be the preliminary step in a concrete act of cultural recuperation: namely the re-appropriation and mobilization of texts, through an exilic will to interpretation and synthesis. Through a close examination of Auerbach’s ‘Philology and Weltliteratur’ and Said’s ‘Secular Criticism’ I compare the writers’ consciousness of their worldly socio-political situations, their humanistic goals, and their readings of cultural history—which they evaluate in the form of literary representations and interpretations of reality. Said locates agency in the exile’s liminal situation, his ‘unhomely’ un-belonging, which affords him a unique perspective and a certain mobility of critical thought. He believes that Auerbach, in his cultural alienation as a Jew exiled to Istanbul during World War II, adopted such a threshold position and could thus exercise precisely this exilic will to criticism as he wrote his magisterial Mimesis. Through a ‘worldly self-situating’ between inside and outside and a refusal of all binding filiations or affiliations that would limit his ability to move freely between the two spaces, the secular critic following the model of Auerbach, can mediate contrapuntally between dominant and minority culture, challenge authority, and indeed, redistribute cultural capital to produce ‘non-coercive knowledge in the interests of human freedom.’ Exilic readings thus become a tool and weapon of resistance, which simultaneously enable a critical recovery of one’s lost world and a reconstitution of the cultural mythos of

The Beats as Cultural Others/Exotics in Recent Memoirs by Exile Poets

DEFF Research Database (Denmark)

Sørensen, Bent

Poets who have come to the USA during the 1950s and 60s as expatriates or exiles from central European countries dominated by Communist regimes have often looked to Beat Generation writers as role models and inspirational figures. This is no doubt due to the spirit of individuality, non-conformis......Poets who have come to the USA during the 1950s and 60s as expatriates or exiles from central European countries dominated by Communist regimes have often looked to Beat Generation writers as role models and inspirational figures. This is no doubt due to the spirit of individuality, non......-conformism and jubilant celebration of difference and otherness which permeates the writings of poets such as Allen Ginsberg, and which resonated with dissident poets often oppressed by totalitarian regimes. Authors such as Andrei Codrescu and Charles Simic have published memoirs and poems detailing their fascination...... with figures associated with the Beat Generation. This paper examines the representation of Beat writers such as Ginsberg and Jack Kerouac in Codrescu and Simic's texts, and argues that the exile poets overlay the well-known figures of the Beat writers with yet another dimension of otherness and exoticism...

From the Atlantic to the Pacific: Maruja Mallo in Exile

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Shirley Mangini

2006-01-01

Full Text Available Maruja Mallo's life (1902-1995 and art represent one woman's odyssey from the European vanguards to political commitment during the Spanish Republic (1931-1939 and finally to a unique transcendent art form after her wrenching exile from Spain and her residence in Latin America from 1937 to 1965. In her early career she was a leader among the avant-garde painters when few Spanish women were recognized as creative artists. In Latin America, her work diverged radically from European avant-garde trends and from her ideologically oriented subject matter of the 1930s; Mallo not only reflects the impact of her discovery of the Pacific Ocean and her newfound "zest for life," but also clearly defines a new language that celebrates the female body and female sexuality. This essay traces Mallo's personal and artistic journey from Spain to Latin America and back.

An ANN application for water quality forecasting.

Science.gov (United States)

Palani, Sundarambal; Liong, Shie-Yui; Tkalich, Pavel

2008-09-01

Rapid urban and coastal developments often witness deterioration of regional seawater quality. As part of the management process, it is important to assess the baseline characteristics of the marine environment so that sustainable development can be pursued. In this study, artificial neural networks (ANNs) were used to predict and forecast quantitative characteristics of water bodies. The true power and advantage of this method lie in its ability to (1) represent both linear and non-linear relationships and (2) learn these relationships directly from the data being modeled. The study focuses on Singapore coastal waters. The ANN model is built for quick assessment and forecasting of selected water quality variables at any location in the domain of interest. Respective variables measured at other locations serve as the input parameters. The variables of interest are salinity, temperature, dissolved oxygen, and chlorophyll-alpha. A time lag up to 2Delta(t) appeared to suffice to yield good simulation results. To validate the performance of the trained ANN, it was applied to an unseen data set from a station in the region. The results show the ANN's great potential to simulate water quality variables. Simulation accuracy, measured in the Nash-Sutcliffe coefficient of efficiency (R(2)), ranged from 0.8 to 0.9 for the training and overfitting test data. Thus, a trained ANN model may potentially provide simulated values for desired locations at which measured data are unavailable yet required for water quality models.

First results of the (n,gamma) EXILL campaigns at the Institut Laue Langevin

Energy Technology Data Exchange (ETDEWEB)

Jolie, Jan; Regis, Jean-Marc; Wilmsen, Dennis; Ahmed, Samer; Pfeiffer, Michael; Saed Samii, Nima; Warr, Nigel [Institut fuer Kernphysik, Universitaet zu Koeln, Zuelpicher Str 77, 50937 Koeln (Germany); Thirolf, Peter; Habs, Dieter [Fakultaet fuer Physik, Ludwig Maximilian Universitaet, 85748 Garching (Germany); Collaboration: EXILL Collaboration; FATIMA Collaboration

2014-07-01

At the PF1B cold neutron beam line at the Institut Laue Langevin the EXILL array consisting of EXOGAM, GASP and LOHENGRIN detectors was used to perform (n,γ) measurements under very high coincidence rates. About ten different reactions were then measured in autumn 2012. In spring 2013 the EXOGAM array was combined with 16 LaBr{sub 3}(Ce) scintillators in the FATIMA rate at EXILL campaign for the measurement of lifetimes using the generalised centroid difference method. We report on the properties of both set-ups and present first results on Pt isotopes from both campaigns.

iAnn

DEFF Research Database (Denmark)

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

2013-01-01

We present iAnn, an open source community-driven platform for dissemination of life science events, such as courses, conferences and workshops. iAnn allows automatic visualisation and integration of customised event reports. A central repository lies at the core of the platform: curators add...... 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...

En híbrida mezcolanza: Exile and Cultural Anxiety in Alirio Díaz Guerra’s Lucas Guevara

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Jeffrey Browitt

2005-03-01

Full Text Available The novel Lucas Guevara, written by the Colombian exile, Alirio Díaz Guerra, was first published in New York in 1914. It is considered to be the earliest novel about Latin American immigration to the United States written in Spanish. This fact alone merits its study. A second edition was published in 2001 along with a critical-biographical introduction, which presents the novel as the precursor of a developing genre of Hispanic immigrant literature centred on the naïve Latin American migrant who arrives in the United States inspired by the opportunities which the metropolis supposedly affords, but who nevertheless suffers a series of misfortunes because of the inability to adapt to the new culture. On the level of overt content, the novel is a lachrymose, stereotypical and conventional denunciation of the supposed evils of an amoral US society and the libertine and materialistic values underpinning it. But on a much deeper level, a picture emerges of Díaz Guerra himself as a displaced, disenchanted intellectual exile who suffers (or has suffered an acute cultural and class anxiety in the transition from a patrician Arcadia to the heart of capitalist, industrial modernity. Through a reading of the narrative voice, and by extension the implied author, we witness his difficult coming to terms with a highly-charged New York society (in comparison to his homeland, not only because of the sexual liberation brought on by secular modernization, but also because of the close proximity of volatile, eroticised bodies on the over-crowded Lower East Side of New York, the scene of the novel and Díaz Guerra’s point of entry into the United States. The novel also provides an occasion to contrast how Díaz Guerra deals with the condition of exile, in contrast to that most emblematic of Latin American political refugees, José Martí.

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

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

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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.

Exile and Orphanhood. Fathers and Children in Roberto Bolaño's narrative works

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Lorenzo Mecozzi

2015-07-01

Full Text Available The article explores the relationship between fathers and children in Roberto Bolaño's narrative works. To do so, it is shown how that relationship, both in Bolaño's novels and short stories, is intrinsically linked to the theme of the exile. Once the connection between exile and orphanhood is shown, the article tries to offer an insight of the relationship fathers-children in Bolaño's works and to focus on some key characters. Therefore, specific novels and short stories are analyzed in depth: in particular the article examines the characters and the narrative strategies of Los Detectives Salvajes, 2666 and two short stories contained in Putas Asesinas.

Český exil v Mexiku za druhé světové války

OpenAIRE

Jonáková, Martina

2014-01-01

The diploma thesis provides an in depth overview of Czech exile in Mexico during the Second World War. Initially the text describes the political and social situation in Europe and Mexico during the 1930's and 1940's and elucidates the reasons leading to emigration. In the following part the subject matter of exiled Czechs is characterised, especially regarding Czech authors writing in German. The last chapter maps the communities of expat and their activity in aid of the Czechoslovak resista...

Vietnamese Buddhist pagoda in France: “institution-place of memory”. Legitimate power to communicate the memory of exiles

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Jérôme GIDOIN

2012-01-01

Full Text Available Vietnamese Buddhism took hold and developed in France partly because it was able to obtain a monopoly on funeral rites and mourning rites. Many exiled families see the interest of this and delegate their ancestor worship to the monks. By combining the spiritual, socio-cultural, eschatological and political domains, and despite whatever generation gaps may exist, the pagoda allows families to reconstruct a social and family ethic in a context of social acculturation. It provides a fitting answer to the question inherent to the migratory context: how to find new symbolic resources outside of Vietnam? And it can thus implement a communication strategy that officialises, in the land of exile, the inextricable link between the pagoda and the assumption of responsibility for the memory of exiled ancestors.

Fugitives in transit. The Spanish Republican exile through Portugal (1936-1950

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Aurelio Velázquez Hernández

2018-01-01

Full Text Available Despite scant attention from historiography, Portugal played an important role as a way station on the road to exile for many Republicans during and after the Spanish Civil War. The situation in the neighbouring country was not easy for these people, as Antonio Oliveira de Salazar’s regime —officially allied with Franco’s Spain— did not recognize them as political refugees, but as illegal immigrants to be returned to Spain, which would have catastrophic consequences for many of them. Through the analysis of abundant primary sources in archives from Spain, Portugal, Mexico and the United States, we seek to understand the details of this Portuguese stage of the exile. We discover how, despite the official position of the Portuguese authorities, there were certain margins of ambiguity that allowed the departure of several thousand Spaniards to Mexico and other countries. Finally we study the fundamental intervention of international aid agencies like the Unitarian Service Committee.

Nomadisme et exil dans l’œuvre d’Abdourahman A. Waberi

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Alice Botelho Peixoto

2017-10-01

Full Text Available Ce travail d’analyse littéraire prétend, à travers les thèmes du nomadisme et de l’exil, percer un chemin d’interprétation dans l’œuvre de l’écrivain contemporain Abdourahman A. Waberi. La première partie tente de comprendre la représentation qui est faite du nomadisme comme un mode de vie traditionnel de la Corne de l’Afrique, dont Djibouti est une métonymie. Ensuite, il s’agit de comprendre l’exil comme un phénomène qui consiste dans l’abandon de la terre natale vers l’ailleurs. Finalement, l’auteur met en scène un genre de migrant cosmopolite. En outre, certaines questions de style ou de forme sont également abordées dans ce travail, comme la prose poétique ou l’expression d’une voix narrative unique qui relie les œuvres étudiées.

“LANZAROTE IS MY ROCK RAFT”: JOSÉ SARAMAGO AND THE MEMORIALISTIC WRITING OF EXILE

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Rodrigo Xavier

2013-11-01

Full Text Available The current paper offers a reading of the initial Saramago’s Diaries, writ­ten by the Portuguese José Saramago and published between the years of 1993 and 1997, as it rehearses drafting a possible relation between the role of the intellectual, as performed by the writer and the composition of an autobiographical literature. This latter is constituted by means of a unique acquisition and learning of memory, from his exile in the Spanish island of Lanzarote. Edward Said´s writings will guide the discussions on exile pro­posed in this work, as much as Philippe Lejeune´s, whose writings appear in the dialogue between autobiography and memory.

The construction of women and the situation of exile in Aves exóticas by Reina Roffé

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Nadia Vannesa Mendez

2015-09-01

Full Text Available This article analyze the construction of a different style of woman in the stories compiled in the book´s Reina Roffé Aves Exóticas (2004. The female characters that appear are crossed by different ways of exile, as the political exile caused by military dictatorships. It is also interesting as, in the second edition of Aves, Roffé raises a new reading of the play Frankenstein by Mary Shelley.

News on the move: Towards a typology of Journalists in Exile

NARCIS (Netherlands)

O'Loughlin, C.; Schafraad, P.

2016-01-01

Over the last eleven years, 706 journalists around the world have been forced to flee their homelands as a direct consequence of their work. The aim of this study is to provide insight into how the experience of going into exile has affected the motivations and professional standards of these

Dreaming woman: Image, place, and the aesthetics of exile.

Science.gov (United States)

Greenspan, Rachel

2017-08-01

Looking closely at an Argentine dream interpretation column published in a popular women's magazine from 1948 to 1951, this article examines the role of the dream image in shaping psychoanalytic discourse on femininity and national identity. The column, 'Psychoanalysis Will Help You,' emerged during Juan Domingo Perón's first presidency, featuring verbal interpretations written under the pen name 'Richard Rest,' as well as surreal photomontages by Grete Stern, a German-born, Bauhaus-trained photographer living in exile since 1936. While the column's Jungian text encourages readers' adaptation to the external reality of their social situation, Stern's droll images emphasize the disjuncture between subject and environment, exposing tensions between the experience of exile and the Peronist mission to consolidate an Argentine national identity. Experimenting formally with European avant-garde techniques, Stern presents femininity and nation as conflictive imaginary configurations. This theme resurfaces at the 2013 Venice Biennale, where Nicola Costantino's multimedia installation Eva - Argentina: A Contemporary Metaphor was exhibited alongside Carl Jung's Red Book. Formal contrasts between Stern's use of photomontage, Costantino's projection technique, and Jung's theory of mandala symbolism indicate the divergent ways in which their artwork posits the therapeutic function of the dream image, as well as the role of aesthetic production in psychoanalytic care. Copyright © 2017 Institute of Psychoanalysis.

Exile and the Diasporic Voice: Bloke Modisane's BBC Radio Plays ...

African Journals Online (AJOL)

Modisane is seen as an exilic figure, but also as a member of the black diaspora of artists from Africa and the Caribbean who were based in London during the 1960s in particular. He is also discussed as a key figure of black modernism, with the radio plays allowing him to explore his preoccupations with time, space and ...

Johannes Müller, Exile Memories and the Dutch Revolt: The Narrated Diaspora, 1550-1750

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C.A. (Annemieke Romein

2017-10-01

Full Text Available Johannes Müller, Exile Memories and the Dutch Revolt: The Narrated Diaspora, 1550-1750 (Dissertation Leiden University 2014; Leiden/ Boston: Brill. 2016, 254 pp., ISBN 9789004315914.

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

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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.

Exile: Rupture and Continuity in Jean Vanmai's Chan Dang and Fils de Chan Dang

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Tess Do

2005-08-01

Full Text Available This essay focuses on the work of the New Caledonian-born writer Jean Vanmai. His first two novels, Chan Dang and Fils de Chan Dang, describe the working conditions and exilic existence of the little known Chan Dang, the voluntary workers from Tonkin (North Vietnam who moved to New Caledonia many decades ago. Descended himself from a Chan Dang family, Vanmai wishes to preserve the memory of the Chan DangDang’s past. In writing the story of the Chan Dang, Vanmai sees himself as the guardian of the Chan Dang’s collective memory, a keeper and defender of their common past. The paper argues that Vanmai's depictions of the Chan Dang have two important effects. First, by sharing with other Vietnamese migrants/refugees the life and experiences of the Tonkinese voluntary workers in New Caledonia, Vanmai breaks the silence surrounding colonial exile and exploitation and provides a full account of the Chan Dang’s exile that can be integrated into the contemporary history of Vietnamese migration. Second, by using different narrative resolutions for each of his protagonists, Vanmai stresses the need to fulfil one’s filial duty among the young Vietnamese generations. With this symbolic filial act, Vanmai pays homage to his Vietnamese ancestors and earns himself a honourable title, that of a true dutiful "son of Chan Dang".

The Vibe of the Exiles: Aliens, Afropsychedelia and Psyculture

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Graham St John

2013-11-01

Full Text Available This article offers detailed comment on the vibe of the exiles, a socio-sonic aesthetic infused with the sensibility of the exile, of compatriotism in expatriation, a characteristic of psychedelic electronica from Goatrance to psytrance and beyond (i.e. psyculture. The commentary focuses on an emancipatory artifice which sees participants in the psyculture continuum adopt the figure of the alien in transpersonal and utopian projects. Decaled with the cosmic liminality of space exploration, alien encounter and abduction repurposed from science fiction, psychedelic event-culture cultivates posthumanist pretentions resembling Afrofuturist sensibilities that are identified with, appropriated and reassembled by participants. Offering a range of examples, among them Israeli psychedelic artists bent on entering another world, the article explores the interface of psyculture and Afrofuturism. Sharing a theme central to cosmic jazz, funk, rock, dub, electro, hip-hop and techno, from the earliest productions, Israeli and otherwise, Goatrance, assumed an off-world trajectory, and a concomitant celebration of difference, a potent otherness signified by the alien encounter, where contact and abduction become driving narratives for increasingly popular social aesthetics. Exploring the different orbits from which mystics and ecstatics transmit visions of another world, the article, then, focuses on the socio-sonic aesthetics of the dance floor, that orgiastic domain in which a multitude of “freedoms” are performed, mutant utopias propagated, and alien identities danced into being.

Obituary: Anne Barbara Underhill, 1920-2003

Science.gov (United States)

Roman, Nancy Grace

2003-12-01

career. She tried conscientiously to learn Dutch with only moderate success. She started her lectures in Dutch but switched to English when she was excited. For a semester, she talked of black body radiation; the Dutch came out as ``black corpse radiation." The students enjoyed this so much that they never corrected her. While in Utrecht, she served briefly on the editorial board of the Astrophysical Journal. After Utrecht, Anne returned to North America to work with NASA's Goddard Space Flight Center in Greenbelt Maryland. The senior scientists at Goddard were looking for a competent astronomer who could help raise the scientific standards of the laboratory. Anne was successful in this aim, particularly in guiding and encouraging the younger staff. As project scientist for the International Ultraviolet Explorer, she contributed greatly to the success of that project. In 1969, Anne received an honorary degree from York University. The period as Goddard Lab Chief was trying for Anne and she was happy to accept a Senior Scientist position. She spent two years in Paris collaborating with Richard Thomas editing a series of books on astronomy. Of these, she wrote "O-Stars and Wolf Rayet Stars" in collaboration with Peter Conti, and "B Stars With and Without Emission Lines" in collaboration with Vera Doazan. Both books were well received. On return from Paris she continued scientific research until she retired in 1985. Upon retirement, Anne returned to Vancouver and became an honorary professor at the University of British Columbia. She had an office, library facilities and the stimulation of colleagues. She enjoyed helping and mentoring the women students and she was happy to get back to observing at the Dominion Astrophysical Observatory in Victoria. In 1985 she received the D.S. Beals award, given to a Canadian astronomer for outstanding achievement in research. She was also elected a Fellow of the Royal Society of Canada in 1985. She received a D.Sc. from the University of

[The long journey of Milton Santos's exile and the formation of his network of cooperation].

Science.gov (United States)

Pedrosa, Breno Viotto

2018-01-01

Based on an analysis of letters from the Milton Santos collection, the article revisits his journey through exile and shows how he contributed to solidifying the field of critical geography. It also pinpoints elements that reveal the genesis of his intellectual network, which involved thinkers from France, the United States, and Latin America. Focusing on the contexts of his exile, the article links his experiences outside Brazil to new scientific interests and the formation of an international circle of cooperation. Secondarily, it provides evidence of his concern with planning. It is found that his interest in the group of Pierre George and François Perroux was followed by a critical stance that moved him toward dialogue with Marxist philosophy and structuralism.

Writing as a Settlement Place in Exile: Tununa Mercado and María Negroni

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Bocchino, Adriana

2011-01-01

Full Text Available This article calls for the possibility of determining a settlement place for the women who contribute to the writing process as exiles. The exile expericence, whether interior or exterior,that was endured for policital reasons by Argentinean intellectuals during the second half of the 20th century, was more intense for women who write. This experience is reliably reproduced in the writings of the two women studied in this paper: Tununa Mercado and María Negroni. Both ofthese women are able to make and make for themselves a place from that location; they provide a different way of making literature. This article will analyze that place using two of their novels:Yo nunca te prometí la eternidad [I never promised you eternity] (2005 and La anunciación [The Annunciation] (2007, respectively.

Exile and Self-Actualization in Pauline Kaldas’s “He Had Dreamed of Returning” and “Airport”

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Nisreen M. Sawwa

2017-01-01

Full Text Available Against common pessimistic readings of exile in postcolonial fiction, this article employs the notion of “self-actualization” that argues for people’s desire to accomplish everything they are capable of and their need to realize their potential. Within a comparative context and using identity theory and diaspora studies, the article illustrates how self-actualization keeps the immigrants from experiencing exile in two Arab American short stories by Pauline Kaldas: “Airport” (2009a and “He Had Dreamed of Returning” (2009b. This article shows how the main characters of “Airport” and “He Had Dreamed of Returning,” Samir and Hani respectively, fulfill the American Dream and how Hoda, Samir’s wife, pictures America as the place where she can realize her ambitions. However, Nancy, Hani’s wife, achieves her potential in Egypt rather than America, where she feels needed as a teacher. Thus, Samir and Hani do not get dislocated in America, and Nancy has a sense of belonging in Egypt. Hence, the article utilizes the American Dream and a reverse side of it, and it shows how Samir’s, Hani’s, and Nancy’s self-actualization is a counter to feelings of exile. In other words, the three characters do not experience loss of identity and displacement in the countries they emigrate to. Rather, they fulfill their dreams there and find/create new identities which have been suppressed in their hometowns, which enhances a view of identity as fluid rather than fixed. Briefly put, this article presents the self-actualization of immigrants in new locales as a counter to different levels of dislocation and exile.

Anne Fine

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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.

David van der Linden, Experiencing Exile: Huguenot Refugees in the Dutch Republic 1680-1700

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Matthew Glozier

2016-04-01

Full Text Available David van der Linden, Experiencing Exile: Huguenot Refugees in the Dutch Republic 1680-1700 (PhD Universiteit Utrecht 2013; Politics and Culture in Europe, 1650-1750; Farnham: Ashgate, 2015, xx + 289 pp., ISBN 978 14 7242 927 8.

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"

Tibetan Buddhist Nuns in Exile: Creating A Sacred Space to be at ...

African Journals Online (AJOL)

This article looks at the activities of the Tibetan Nuns Project in North India and the experience of Tibetan Buddhist nuns at Dolma Ling Nunnery and Institute for Higher Learning and Shugsep Nunnery in the district of Dharamsala. It is argued that although these women are now in exile from Tibet, their home, they were in ...

Experience and visions of the Uruguayan exile in Spain Realidades y visiones del exilio uruguayo en España

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Enrique CORAZA DE LOS SANTOS

2010-10-01

Full Text Available The article focuses on a particular type of migration motivated by political exile; specifically the exile sufferance by an important portion of the Uruguayan population in the mid­1970s to Spain. Two distinct but complementary perspectives are developed: a bibliographical study and a study of the presence of exiles in different geographical and representational spaces. This involves an in-depth study of the testimonies of exiles (both those that remained and those that returned, and an analysis of the documentation of different archives and political and trade union organizations.El presente artículo se centra en un tipo de migración, la emigración forzada por motivaciones políticas o exilio; concretamente el exilio sufrido por una importante porción de la población uruguaya a mediados de la década de 1970 en un espacio concreto: España. Esta lectura se realiza desde dos ópticas diferentes pero complementarias, una es desde la bibliografía y la otra desde la presencia de los exiliados en diferentes espacios geográficos y de representación. Para ello se utilizan informaciones provenientes de una profundización en los testimonios de los exiliados –hoy residentes o retornados– y el análisis de la documentación de diferentes archivos particulares y distintas organizaciones políticas y sindicales.

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

Les autres Irakiens : émigrés et exilés d’avant 2003 en Jordanie et leurs récits d’appartenance (Une recherche en cours

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Hala Fattah

2007-07-01

Full Text Available Cet article s’intéresse à une importante minorité de la communauté irakienne exilée à Amman (Jordanie, à savoir la génération des années 1950. Après une brève présentation de l’histoire de l’émigration irakienne en Jordanie, l’auteur évoque les quelques travaux sociologiques sur les Irakiens à Amman et dans les autres villes jordaniennes. La seconde section de l’article est consacrée à l’analyse de la manière dont cette génération formule l’identité ou les identités irakiennes, la question communautaire, celle des droits des femmes et la notion de gouvernance. Bien qu’il s’agisse d’une étude à ses débuts, l’exploration par l’auteur de cette histoire orale introduit des nuances passionnantes à notre connaissance de l’histoire irakienne, qu’elle s’efforce de relier (de façon encore impressionniste au récit plus large de la mémoire irakienne.

Traversées de lieux exilés : recoudre les fragments

OpenAIRE

Hovanessian , Martine

2009-01-01

Crossing Places of Exile: Sewing the Fragments Back Together Martine Hovanessian Presentation text for Accreditation to Supervise Research 29 Avril 2009 This dissertation, as I explain in the Introduction, was written in the desire to contribute to the opening out of an inner landscape, a landscape tormented in many ways, and which cannot be imagined if one is attempting to produce a straightforward monographic study. What is it about? An adventure similar to "an anthropology of nooks and cra...

Aliocha : de l’exil à la médiation interculturelle par le biais de la poésie

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Maria Teresa Duarte Leão Moreira

2010-01-01

Full Text Available Aliocha, the narrator, is a Russian adult exiled in France. He was raised in the French culture, transmitted to him by his grandmother, Charlotte, herself exiled in Russia. It is through her memories, books and other souvenirs contained in her coffer that the narrator “learns” what France is. Those memories allow a constant flow between Aliocha’s childhood, adolescence and adulthood, offering us images of Russia and a France the narrator won’t recognize when getting there. He will always live, whatever its location, between two languages, between two worldviews and two identities that he constantly needs to translate. Rich in his grandmother’s cultural heritage and a privileged translator, Aliocha refugees himself in writing and in the happiness of the cultural mediation.

Perbandingan Metode ANN-PSO Dan ANN-GA Dalam Pemodelan Komposisi Pakan Kambing Peranakan Etawa (PE Untuk Optimasi Kandungan Gizi

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Canny Amerilyse Caesar

2016-09-01

Abstract Milk is one of the animal protein sources which it contains all of the substances needed by human body. The main milk producer cattle in Indonesia is dairy cow, however its milk production has not fulfilled the society needs. The alternative is the goat, the Etawa crossbreed (PE. The high quality of milk nutrients content is greatly influenced by some factors one of them, is the food factor. The PE goat livestock division of the UPT Cattle Breeding and the Cattle Food Greenery in Singosari-Malang still faces the problem, it is the low ability in giving the food composition for PE goat. This flaw affects the quality of the produced milk. It needs the artificial science of the milk nutrients contain in order to determine the food composition to produce premium milk with the optimum nutrients contain. The writer uses the method of the Artificial Neural Network (ANN and the Particle Swarm Optimization (PSO to make the modeling of goat food in optimizing the content of goat milk nutrients. In the analysis of the examination that is done with the case of 36 kg goat weight, also the food type used is the 70 % Odot grass and 30% Raja grass can increase the nutrients contain of the protein milk for 0.707% and decrease the fat nutrients contain for 0.879%. If uses the method of Artificial Neural Network (ANN and Genethic Algorithm (GA can increase the nutriens contain of the protein for 0.0852% and decrease the fat nutients contain for 2.3254%.   Key Words : Goat Milk, Optimization, Artificial Neural Network (ANN, Particle Swarm Optimization (PSO, Genetic Algorithm (GA, the food nutrients contain.

Une université biélorusse en son exil lituanien.

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Juliette Rennes

2006-05-01

Full Text Available C’est l’histoire d’un Allemand, d’un Anglais et d’une Française attablés dans la cuisine d’un appartement à Vilnius : en russe, ils discutent des courses à faire, du froid, de Foucault et du cinéma post-soviétique. Ce qui les réunit dans cet endroit et dans cette langue, c’est la European Humanities University (E hu , université biélorusse dissidente, en exil depuis octobre 2005 à Vilnius, en Lituanie. À des titres divers, ils y sont invités pour y donner des ...

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)

Anne-Mette Langes plan for ADHD kongressen

DEFF Research Database (Denmark)

Lange, Anne-Mette

2017-01-01

http://medicinsktidsskrift.dk/behandlinger/psykiatri/699-anne-mette-langes-plan-for-adhd-kongressen.html......http://medicinsktidsskrift.dk/behandlinger/psykiatri/699-anne-mette-langes-plan-for-adhd-kongressen.html...

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 «&...

En/countering the New Language of Exile in Uche Nduka's The Bremen Poems

Directory of Open Access Journals (Sweden)

Obododimma Oha

2005-03-01

Full Text Available Many African writers have been very critical of Europe in their works, especially in relation to racism and the experience of colonization. Yet, with the conditions in African countries becoming unfriendly to the careers of these writers, many of them have had to seek refuge in Europe. The New European context of African writing (which means an entry into the space of the Other raises a number of issues about literary style in the exilic/migrant text, especially with regard to the use of literature as a means of recreating the self and articulating the way the self experiences a new cultural space. To what extent does this entry into the space of the Other imply dialogism and transformation? The present paper discusses the stylistic and discourse patterns utilized by the Nigerian poet, Uche Nduka, who has been in self-exile in Germany, in his The Bremen Poems. It analyses the images that are enlisted in the textual politics of re/identification in the poems, especially in the articulation of Europe/Germany as a productive space. It analyses the images that are enlisted in the textual politics of re/identification in the poems, especially in the articulation of Europe/Germany as a productive space.

Feature Selection and ANN Solar Power Prediction

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Daniel O’Leary

2017-01-01

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

Biogas engine performance estimation using ANN

Directory of Open Access Journals (Sweden)

Yusuf Kurtgoz

2017-12-01

Full Text Available Artificial neural network (ANN method was used to estimate the thermal efficiency (TE, brake specific fuel consumption (BSFC and volumetric efficiency (VE values of a biogas engine with spark ignition at different methane (CH4 ratios and engine load values. For this purpose, the biogas used in the biogas engine was produced by the anaerobic fermentation method from bovine manure and different CH4 contents (51%, 57%, 87% were obtained by purification of CO2 and H2S. The data used in the ANN models were obtained experimentally from a 4-stroke four-cylinder, spark ignition engine, at constant speed for different load and CH4 ratios. Using some of the obtained experimental data, ANN models were developed, and the rest was used to test the developed models. In the ANN models, the CH4 ratio of the fuel, engine load, inlet air temperature (Tin, air fuel ratio and the maximum cylinder pressure are chosen as the input parameters. TE, BSFC and VE are used as the output parameters. Root mean square error (RMSE, mean absolute percentage error (MAPE and correlation coefficient (R performance indicators are used to compare measured and predicted values. It has been shown that ANN models give good results in spark ignition biogas engines with high correlation and low error rates for TE, BSFC and VE values.

Faut-il accueillir ou non les exilés ? Représentation d'un dilemme dans la littérature grecque archaïque et classique

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Amandine Gouttefarde

2017-09-01

Full Text Available In archaic and classical Greek literature, contradictory commonplaces are conveyed about the reception of the supplicant exiles. The disagreements that arise from a blind obedience to the rules of hospitality are often portrayed. A number of examples invite to the greatest distrust of those exiles who knock on the door. However, the Greek tragedy, which is expanding parallel to democracy, proposes to put an end to these old representations.

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

Index Scriptorium Estoniae

Randla, Anneli, 1970-

1999-01-01

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

Shattered Shangri-la: differences in depressive and anxiety symptoms in students born in Tibet compared to Tibetan students born in exile.

Science.gov (United States)

Evans, Dabney; Buxton, David C; Borisov, Andrey; Manatunga, Amita K; Ngodup, Dawa; Raison, Charles L

2008-06-01

As a result of ongoing political tensions within Tibetan regions of the People's Republic of China, several thousand Tibetans escape across the Himalayas every year to seek refuge in India and Nepal. Prior studies have found a high prevalence of depressive and anxiety symptoms in these refugees, many of whom are young and have been exposed to significant trauma. However, it is not known whether depressive and anxiety symptoms are more prevalent in these refugees than in ethnic Tibetans born and raised in the relative political and social stability of exile communities in North India and Nepal. We conducted a cross-sectional survey of a convenience sample of 319 students attending school at the Tibetan Children's Villages in Northern India to test the a priori hypothesis that adolescents and young adults who escaped from Tibet to India would demonstrate increased depressive and anxiety symptoms when compared to ethnic Tibetans born and raised in exile. The Hopkins Symptom Checklist-25 (HSCL-25) was used to measure depressive and anxiety symptoms. In addition, demographic information on age, sex, country of birth and frequency of family contact was collected. Students born in Tibet had higher mean HSCL-25 depressive and anxiety symptom scores than did ethnic Tibetans born in exile. Female students demonstrated higher depressive and anxiety scores, as did those with limited contact with immediate family. After adjusting for sex, age and frequency of family contact, being born in Tibet was associated with increased HSCL-25 depressive and anxiety symptom scores (depression: F[2, 316] = 29.96, P < 0.0001; anxiety: F[4, 316] = 43.57, P < 0.0001). The experience of being raised in Tibet and escaping to India appears to be a risk factor for increased depressive and anxiety symptoms when compared to being born and raised within an exile community in India or Nepal.

First results of the EXILL and FATIMA campaign at the Institut Laue Langevin

Energy Technology Data Exchange (ETDEWEB)

Jolie, Jan; Regis, Jean-Marc; Saed-Samii, Nima; Warr, Nigel [IKP, Universitaet zu Koeln, Zuelpicher Str. 77, 50937 Koeln (Germany); Wilmsen, Dennis [IKP, Universitaet zu Koeln, Zuelpicher Str. 77, 50937 Koeln (Germany); GANIL, BP 55027 (France); France, Gilles de; Clement, Emmanuel [GANIL, BP 55027 (France); Blanc, Aurelien; Jentschel, Michael; Koester, Uli; Mutti, Paolo; Soldner, Thorsten [ILL, 71 Av. des Martyrs, 38042 Grenoble (France); Simpson, Gary [University of Western Scotland, Paisley, PA1 2BE (United Kingdom); UIrban, Waldek [Faculty of Physics, University of Warsaw, 02-093 Warsaw (Poland); Bruce, Alison; Lalskovski, Stefan [SCEM, University of Brighton, Brighton BN2 4GJ (United Kingdom); Fraile, Luis [Grupo de Fisica Nuclear, Universidad Complutese, 28040 Madrid (Spain); Kroell, Thorsten [Institut fuer Kernphysik, TU Darmstadt, Darmstadt (Germany); Podolyak, Zsolt; Regan, Patrick [Dept. of Physics, University of Surrey, Guildford GU2 7XH (United Kingdom); Korten, Wolfram [CEA, Centre de Saclay, IRFU, 91191 Gif-sur-Yvette (France); Ur, Calin; Marginean, Nicu [Horia Hulubei NIPNE, 77125 Bucharest (Romania)

2015-07-01

At the PF1B cold neutron beam line at the Institut Laue Langevin the EXILL and FATIMA array consisting of 8 EXOGAM clover Ge detectors and 16 LaBr3(Ce) scintillators was used for the measurement of lifetimes using the generalised centroid difference method. The studied nuclei were formed by the (n,γ) and (n,fission) reactions. We report on the set-up and present first results on {sup 90}Zr and {sup 196}Pt.

On the Jewish Nature of Medieval Spanish Biblical Translations Linguistic Differences between Medieval and Post-Exilic Spanish Translations of the Bible

Directory of Open Access Journals (Sweden)

Schwarzwald, Ora

2010-06-01

Full Text Available A linguistic comparison of medieval Spanish translations of the Hebrew Bible and the Constantinople and Ferrara post exilic Ladino translations reveals systematic lexical and grammatical variations. These differences can be explained by the population groups to which the translations were targeted: Christian for the medieval translations; Jewish (or former converso for the post-exilic ones. The conclusion is that the medieval translations are not Jewish in nature and could therefore not have been a source for the post-exilic versions which were based on oral tradition.

Una comparación lingüística de las traducciones hispano-medievales de la Biblia hebrea y las postexílicas de Constantinopla y Ferrara revela variaciones sistemáticas léxicas y gramaticales. Esas diferencias pueden explicarse por la audiencia a las que iban dirigidas dichas traducciones: cristiana, en el caso de las medievales; judía (o exconversa en el de las post-exílicas. La autora concluye que las traducciones medievales no son judías, por naturaleza, y en consecuencia, no podrían haber sido una fuente para las versiones post-exílicas que estaban basadas en la tradición oral.

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

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

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

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

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

Luis Alcoriza o la mexicanización del exiliado cinematográfico republicano = Luis Alcoriza or the Mexican Nationalization of the Republican Cinematography Exile

Directory of Open Access Journals (Sweden)

Jorge Chaumel Fernández

2016-03-01

Full Text Available Luis Alcoriza,  exiliado republicano español en México, desarrolló su carrera como  actor, guionista y director en su patria de adopción dándola algunas de sus mejores películas. En su condición de exiliado dispuso de mayor objetividad para mostrar los cambios de la sociedad mexicana y de sus principales problemas políticos. Figura imprescindible de la evolución del Cine Mexicano  de  la segunda mitad del siglo XX, se configura como uno de los principales ejemplos del  fenómeno de mexicanización de los cineastas exiliados.Luis Alcoriza, Spanish republican exile in Mexico, developed his career as an actor, writer and director in his adopted country giving her some of his best films. In his exile he had before as objective to show the changes in Mexican society and its major political problems. Essential figure in the evolution of Mexican cinema in the second half of the twentieth century stands as one of the prime examples of the phenomenon of mexicanización of exiled filmmakers.

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

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Andreas Kalkun

2008-12-01

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

Final Technical Report, Wind Generator Project (Ann Arbor)

Energy Technology Data Exchange (ETDEWEB)

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

2017-03-20

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

Anne Frank relaunched in the world of comics and graphic novels

NARCIS (Netherlands)

Ribbens, Kees

2017-01-01

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

LA VALEUR DOCUMENTAIRE DE LA POÉSIE DE L’EXILE OVIDIEN

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Dorica COCA

2014-11-01

Full Text Available Ovidian exile opera offers numerous precious information about Scythia Minor, Dobrogea today that historians have not capitalized only from the late XIX century and early XX century, after digs in the territory of Dobrogea, when archaeologists and historians have realized that the ovidian source deserve more attention. Although seen with the eye of the poet and not with the historian one, at a careful reading of operas „Tristia” and „Epistulae ex Ponto”, information about placing Tomis, about population, about climate and vegetation comes to light, and their comparison with literary sources of the time, with the historical and archaeological ones helps us find out how much of the information left by Ovidius can be capitalized in establishing historical truth.

Utopia in Exile: A Try for Ethnographic Writing ‘Against Culture’

Directory of Open Access Journals (Sweden)

del Olmo, Margarita

2008-06-01

Full Text Available This paper provides the reader with an analysis of ethnographic writing based upon two different texts produced from a single fieldwork. This fieldwork, which was done in Madrid and Buenos Aires between January, 1985 and December, 1988, concerned Argentine exiles from the Junta Militar dictatorship of 1976 to 1983.El objetivo de este artículo es ofrecer al lector una reflexión sobre la escritura etnográfica basándome en dos textos diferentes producidos a partir del mismo trabajo de campo, realizado en Buenos Aires y en Madrid entre enero de 1985 y diciembre de 1988, sobre los exilados argentinos en España a causa de la dictadura de la Junta militar entre 1976 y 1983.

Exile and insile: split subject policies and representations in chilean poetry of the seventies

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Naín Nómez

2010-07-01

Full Text Available This article is an inventory and analysis of Chilean Poetry in the seventies, written in Chileand abroad, emphasizing the "exilio" and "insilio" concept. Apart from focusing on the "exilio-insilio" problem, its development and subsequent integration, this work analyzes the relationships between poets and their enviroment by means of subjective representations in different situations and places (especially urban. The cities of Chile, as well as foreign cities in the countries of exile, acquire repressive connotations, which influence the problems of the divided subject in this poetry.

L'exil irakien à Damas

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Mohamed Kamel Doraï

2009-03-01

Full Text Available Depuis la chute du régime de Saddam Hussein, le conflit en Irak perdure et des centaines de milliers d'Irakiens ont été contraints de quitter leur pays pour se diriger en grand nombre vers la Syrie. Pour la plupart venus des principales agglomérations irakiennes, et surtout de Bagdad, ils se sont installés dans les faubourgs de la capitale syrienne. Ni la Syrie, ni le Haut Commissariat aux Réfugiés des Nations Unies n'ont ouverts de camps pour accueillir les réfugiés, qui forment aujourd'hui l'une des plus importantes populations de réfugiés urbains à travers le monde. Cet article analyse les modes d'installation des Irakiens à Damas, et le rôle que joue la ville dans les parcours migratoires des exilés.Since the fall of Saddam Hussein regime, the conflict in Iraq is still ongoing and hundreds of thousands of Iraqis have been constrained to leave their country to move in great number towards Syria. The vast majority comes from the main cities in Iraq, and especially from Baghdad, and they settled in the suburbs of the Syrian capital. Neither Syria, nor the United Nations High Commissioner for Refugees have opened camps to accommodate the refugees, who are today one of the most important group of urban refugees throughout the world. This article analyzes the modes of settlement of the Iraqis in Damascus, and the role played by the city in the migratory dynamics of the Iraqi Diaspora.

Predicting chick body mass by artificial intelligence-based models

Directory of Open Access Journals (Sweden)

Patricia Ferreira Ponciano Ferraz

2014-07-01

Full Text Available The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21-day-old chicks - with the variables dry-bulb air temperature, duration of thermal stress (days, chick age (days, and the daily body mass of chicks - was used for network training, validation, and tests of models based on artificial neural networks (ANNs and neuro-fuzzy networks (NFNs. The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age after they were subjected to the input variables, and they showed an R² of 0.9993 and a standard error of 4.62 g. The ANNs enable the simulation of different scenarios, which can assist in managerial decision-making, and they can be embedded in the heating control systems.

[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)

The representation of repression, suffering and pain of the Chilean people. Film, exile and politics: the case of the film "Il pleut sur Santiago", by Helvio Soto Soto (1975

Directory of Open Access Journals (Sweden)

Marcelo Bonnassiolle

2014-07-01

Full Text Available This article examines the relationship between film and history and the representation of history in films, using for the study the film production of Chileans in exile through an analysis of the particular case of the film Raining on Santiago, filmed in France and Bulgaria and directed by filmmaker Helvio Soto in 1975. The article reports on the double functionality of this film: it represents a historical event and becomes the expression of identity in exile. This film has a political function since it is at the service of a political cause. In addition, the film tried to become a method of documentation, education, information and denouncing of what was happening in Chile. Hence, this production responded to the imagery of the filmmakers and became a historical record and a valuable documentary source that allows us to enter the ideological aspects of the exiled filmmakers and their intention to appeal to rebuild ties between the social and the political ¿crushed by the dictatorship¿ in order to help the reconfiguration of the collective memory of the Chilean left.

Vědecký exil v období komunistického režimu. Emigrace z Československé akademie věd

Czech Academy of Sciences Publication Activity Database

Kostlán, Antonín

2010-01-01

Roč. 43, č. 3 (2010), s. 153-181 ISSN 0300-4414 R&D Projects: GA AV ČR IAAX00630801 Institutional research plan: CEZ:AV0Z80630520 Keywords : Czech history * history of sciences * refugees and exile Subject RIV: AB - History

Networks in science: the JAE in the exile

Directory of Open Access Journals (Sweden)

Naranjo Orovio, Consuelo

2007-12-01

Full Text Available Junta para Ampliación de Estudios created different academic centers and laboratories in Spain. In this way, JAE helped to create a intellectual network. These centers not only blessed interchanges, debates and the modernization of Spanish science and culture, but also contributed to establish a platform that worked as a bridge in the aftermath of the Spanish Civil War. This network made possible for republican scientists and intellectuels, to find new positions abroad, when the time for exile came.

Las relaciones e intercambios académicos con el extranjero, impulsados por los distintos centros y laboratorios creados por Junta para Ampliación de Estudios, dieron lugar al forjamiento de unas redes intelectuales que propiciaron no sólo el intercambio, el debate y la modernización de la ciencia y la cultura españolas deseadas, sino que también generaron unas plataformas que actuaron de puentes en los años siguientes a la Guerra Civil española. Las redes intelectuales ayudaron a que los hombres y mujeres, los científicos y pensadores republicanos, encontraran trabajo en otras latitudes cuando tuvieron que exiliarse.

L’exile comme expérience de la séparation dans le discours littéraire sur l’enfance (Nabokov et Sarraute

Directory of Open Access Journals (Sweden)

Daniela CATAU VERES

2015-06-01

Full Text Available Writing exile recreates the experience of separation from the family or his country with sorrow it implies, while commemorating a lost world that thankfully can be retrieved by the memory. The childhood story implements indeed a self-reconstruction process, like a puzzle, which mobilizes different discursive means in the language rituals specific to each writer. Even fragmented, with no precise linearity or devoid of chronology, the childhood story is a means of escape from the prison that is the time especially for the writer in exile in a foreign country, like Nabokov and Sarraute, but also an opportunity to rebuild the original identity after the cultural shock of coming into contact with a foreign culture to the fragile age of childhood. The recovery of this identity is possible through research and the faithful transcription of memory.

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

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Eleonora Rao

2013-10-01

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

Body after baby: a pilot survey of genital body image and sexual esteem following vaginal birth

Directory of Open Access Journals (Sweden)

Zielinski R

2017-04-01

Full Text Available Ruth Zielinski,1 Lisa Kane Low,1–3 Abigail R Smith,4 Janis M Miller1,3 1Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA; 2Department of Women’s Studies, College of Literature, Science and the Arts, University of Michigan, Ann Arbor, MI, USA; 3Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA; 4Arbor Research Collaborative for Health, Ann Arbor, MI, USA Objective: The aim of this study was to determine acceptability of the Vaginal Changes Sexual and Body Esteem (VSBE scale for women post childbirth and explore the association between childbirth events and sexual/body esteem.Design: This is a cross-sectional study within the Evaluating Maternal Recovery from Labor and Delivery study.Setting: This study was conducted in a community setting.Population: The study was conducted in women post first vaginal birth with birth events that posed risk factors for levator ani muscle tears.Methods: Survey, magnetic resonance images of levator ani, and physical examination were the data collected 8 months postpartum. Birth variables were collected by hospital chart review. Descriptive analysis of VSBE response rates and distribution of responses was conducted. An exploratory analysis of the potential association of demographic, birth, clinical, and magnetic resonance image characteristics with VSBE scores was conducted.Main outcome measures: The outcome measure used in this study is VSBE scale.Results: The majority of participants (97% completed the scale, with responses to most questions skewed toward positive sexual/body esteem, with the exception of sexual enjoyment, where 38% indicated some interference due to genital changes. The scale showed high internal consistency (alpha =0.93. In the exploratory analysis of potential characteristics associated with VSBE, women with episiotomies had lower sexual/body esteem compared to those who did not (median

Optimising training data for ANNs with Genetic Algorithms

OpenAIRE

Kamp , R. G.; Savenije , H. H. G.

2006-01-01

International audience; Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) are used to optimise training datasets. The approach is tested with an existing hydraulic model in ...

Optimising training data for ANNs with Genetic Algorithms

OpenAIRE

R. G. Kamp; R. G. Kamp; H. H. G. Savenije

2006-01-01

Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training phase in which the ANN learns the model's input-output relations. Good and representative training data is not always available. In this publication Genetic Algorithms (GA) are used to optimise training datasets. The approach is tested with an existing hydraulic model in The Netherlands. An...

Assessment of ANN and SVM models for estimating normal direct irradiation (H_b)

International Nuclear Information System (INIS)

Santos, Cícero Manoel dos; Escobedo, João Francisco; Teramoto, Érico Tadao; Modenese Gorla da Silva, Silvia Helena

2016-01-01

Highlights: • The performance of SVM and ANN in estimating Normal Direct Irradiation (H_b) was evaluated. • 12 models using different input variables are developed (hourly and daily partitions). • The most relevant input variables for DNI are kt, H_s_c and insolation ratio (r′ = n/N). • Support Vector Machine (SVM) provides accurate estimates and outperforms the Artificial Neural Network (ANN). - Abstract: This study evaluates the estimation of hourly and daily normal direct irradiation (H_b) using machine learning techniques (ML): Artificial Neural Network (ANN) and Support Vector Machine (SVM). Time series of different meteorological variables measured over thirteen years in Botucatu were used for training and validating ANN and SVM. Seven different sets of input variables were tested and evaluated, which were chosen based on statistical models reported in the literature. Relative Mean Bias Error (rMBE), Relative Root Mean Square Error (rRMSE), determination coefficient (R"2) and “d” Willmott index were used to evaluate ANN and SVM models. When compared to statistical models which use the same set of input variables (R"2 between 0.22 and 0.78), ANN and SVM show higher values of R"2 (hourly models between 0.52 and 0.88; daily models between 0.42 and 0.91). Considering the input variables, atmospheric transmissivity of global radiation (kt), integrated solar constant (H_s_c) and insolation ratio (n/N, n is sunshine duration and N is photoperiod) were the most relevant in ANN and SVM models. The rMBE and rRMSE values in the two time partitions of SVM models are lower than those obtained with ANN. Hourly ANN and SVM models have higher rRMSE values than daily models. Optimal performance with hourly models was obtained with ANN4"h (rMBE = 12.24%, rRMSE = 23.99% and “d” = 0.96) and SVM4"h (rMBE = 1.75%, rRMSE = 20.10% and “d” = 0.96). Optimal performance with daily models was obtained with ANN2"d (rMBE = −3.09%, rRMSE = 18.95% and “d” = 0

What kind of Relationship is Between Body Mass Index and Body Fat Percentage?

Science.gov (United States)

Kupusinac, Aleksandar; Stokić, Edita; Sukić, Enes; Rankov, Olivera; Katić, Andrea

2017-01-01

Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas that are available to predict B F % from age, gender and BMI. On the other hand, our previous research has shown that artificial neural network (ANN) is a more accurate method for that. The aim of this study is to analyze relationship between BMI and B F % by using ANN and big dataset (3058 persons). Our results show that this relationship is rather quadratic than linear for both gender and all age groups. Comparing genders, quadratic relathionship is more pronounced in women, while linear relationship is more pronounced in men. Additionaly, our results show that quadratic relationship is more pronounced in old than in young and middle-age men and it is slightly more pronounced in young and middle-age than in old women.

RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.

Directory of Open Access Journals (Sweden)

Marco Grimaldi

Full Text Available RegnANN is a novel method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm builds a regressor for each gene in the network, estimating its neighborhood independently. The overall network is obtained by joining all the neighborhoods. RegnANN makes no assumptions about the nature of the relationships between the variables, potentially capturing high-order and non linear dependencies between expression patterns. The evaluation focuses on synthetic data mimicking plausible submodules of larger networks and on biological data consisting of submodules of Escherichia coli. We consider Barabasi and Erdös-Rényi topologies together with two methods for data generation. We verify the effect of factors such as network size and amount of data to the accuracy of the inference algorithm. The accuracy scores obtained with RegnANN is methodically compared with the performance of three reference algorithms: ARACNE, CLR and KELLER. Our evaluation indicates that RegnANN compares favorably with the inference methods tested. The robustness of RegnANN, its ability to discover second order correlations and the agreement between results obtained with this new methods on both synthetic and biological data are promising and they stimulate its application to a wider range of problems.

Playing tag with ANN: boosted top identification with pattern recognition

International Nuclear Information System (INIS)

Almeida, Leandro G.; Backović, Mihailo; Cliche, Mathieu; Lee, Seung J.; Perelstein, Maxim

2015-01-01

Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic top quarks and the much more common jets initiated by light quarks and gluons. We note that the hadronic calorimeter (HCAL) effectively takes a “digital image" of each jet, with pixel intensities given by energy deposits in individual HCAL cells. Viewed in this way, top tagging becomes a canonical pattern recognition problem. With this motivation, we present a novel top tagging algorithm based on an Artificial Neural Network (ANN), one of the most popular approaches to pattern recognition. The ANN is trained on a large sample of boosted tops and light quark/gluon jets, and is then applied to independent test samples. The ANN tagger demonstrated excellent performance in a Monte Carlo study: for example, for jets with p T in the 1100–1200 GeV range, 60% top-tag efficiency can be achieved with a 4% mis-tag rate. We discuss the physical features of the jets identified by the ANN tagger as the most important for classification, as well as correlations between the ANN tagger and some of the familiar top-tagging observables and algorithms.

Playing tag with ANN: boosted top identification with pattern recognition

Energy Technology Data Exchange (ETDEWEB)

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

2015-07-17

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

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.

Ado Vabbe preemia Anne Parmastole

Index Scriptorium Estoniae

2003-01-01

Tartu Kunstimajas Tartu kunsti aastalõpunäitus. Kujundaja Mari Nõmmela. Anne Parmastole A. Vabbe, Silja Salmistule E-Kunstisalongi, Lii Jürgensonile EDA, Jüri Marranile Wilde kohviku, Sami Makkonenile AS Vunder ja Tartu Õlletehase A. Le Coq ning Eda Lõhmusele AS Merko Tartu preemia

Migration and exile - some implications for mental health in post-apartheid South Africa

Directory of Open Access Journals (Sweden)

M C Marchetti-Mercer

2006-09-01

Full Text Available The age of globalisation and the socio-political changes that have taken place in South Africa in the past decade have created powerful contexts within which the issues of belonging and finding a ‘home’ have become very relevant to all South Africans. This article explores the phenomena of migration and exile, which are strongly characterised by an attempt to find a place one can call ‘home’ and where one can belong, and then shows how these experiences can provide a useful framework for understanding a multicultural context such as the one in South Africa. Some of the implications of these phenomena for mental health, specifically the link between schizophrenia and migration, will also be discussed.

Hotel Europe and the Exiled Dream

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Oana Pughineanu

2017-07-01

Full Text Available In this paper I try to highlight the ambiguous voice of the writer Dumitru Țepenag, passing from author to auctor, in his exile through an Europe where characters are as “flags” on the map, moved from time to time, having no destiny or a clear direction. In his almost oneiric way, the writer tries to put together lives balanced between two worlds: on one hand, there is the world where meanings are so worn-out that they cannot convey anything any longer, and, on the other hand, there is the world of abstruse symbols that also fail to make sense. Hotel Europa is this passage where the two worlds collide, opening up a space that resembles the twilight zone. In this Hotel, as in any other, the most legible elements are the labels, the clichés, the points identified on a map (the cities where the characters are wondering: Budapest, Paris, München. Romanians (along with other East European figures are walking through the “good” Western world bearing the clichés that Europe has fabricated about them: disabled beggars, cheaters, pimps, Gypsies. The “conclusions” appear rather quickly: for the writer, who is also a character in the novel, Romania is this “pathetic country full of misbehaving” and “the genius of the Romanian people” lies in “humour and transhumance. We're all nomad comedians.” Only a myth can make sense in this collage. The text becomes a way of surrendering to the impossibility to make a “realistic story” about Hotel Europe and the way people live in it.

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

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

Solar radiation modelling using ANNs for different climates in China

International Nuclear Information System (INIS)

Lam, Joseph C.; Wan, Kevin K.W.; Yang, Liu

2008-01-01

Artificial neural networks (ANNs) were used to develop prediction models for daily global solar radiation using measured sunshine duration for 40 cities covering nine major thermal climatic zones and sub-zones in China. Coefficients of determination (R 2 ) for all the 40 cities and nine climatic zones/sub-zones are 0.82 or higher, indicating reasonably strong correlation between daily solar radiation and the corresponding sunshine hours. Mean bias error (MBE) varies from -3.3 MJ/m 2 in Ruoqiang (cold climates) to 2.19 MJ/m 2 in Anyang (cold climates). Root mean square error (RMSE) ranges from 1.4 MJ/m 2 in Altay (severe cold climates) to 4.01 MJ/m 2 in Ruoqiang. The three principal statistics (i.e., R 2 , MBE and RMSE) of the climatic zone/sub-zone ANN models are very close to the corresponding zone/sub-zone averages of the individual city ANN models, suggesting that climatic zone ANN models could be used to estimate global solar radiation for locations within the respective zones/sub-zones where only measured sunshine duration data are available. (author)

Les intellectuels espagnols exilés dans l'Argentine peroniste

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Laurent Bonardi

2008-12-01

Full Text Available El gobierno argentino del general Perón reveló ser un verdadero chaleco salvavidas para la dictadura española. Esta política de cooperación provoca una viva oposición en Argentina. Este trabajo propone un análisis de las reacciones de los intelectuales españoles exiliados en Argentina. Observaremos de que manera los intelectuales españoles lucharon contra la dictadura franquista durante el idilio hispano-argentino y analizaremos el “modus operandi” adoptado por el gobierno peronista para obstaculizar las actividades anti-franquistas en el exilio.__________________ABSTRACT:The Argentine government of general Perón becomes an authentic life jacket for the Spanish dictatorship. This policy of cooperation triggers ample dispproval in Argentina. We propose an analysis of the reactions of the spanish intellectuals exiled in Argentina. We will see how the Spanish intellectuals fight against the Franco dictatorship during the honeymoon Hispanic-Argentinean. Also we will analyze the modus operandi adopted by the Peronist government to prevent the antifrancoist activities of the exiliados.

Healing war wounds and perfuming exile: the use of vegetal, animal, and mineral products for perfumes, cosmetics, and skin healing among Sahrawi refugees of Western Sahara.

Science.gov (United States)

Volpato, Gabriele; Kourková, Pavlína; Zelený, Václav

2012-12-27

Over the past decade, there has been growing interest within ethnobiology in the knowledge and practices of migrating people. Within this, scholars have given relatively less attention to displaced people and refugees: to the loss, maintenance, and adaptation of refugees' ethnobiological knowledge, and to its significance for refugees' wellbeing. This study focuses on cosmetics and remedies used to heal skin afflictions that are traditionally used by Sahrawi refugees displaced in South Western Algerian refugee camps. The research methods included a structured survey carried out with 37 refugee households, semi-structured interviews with 77 refugees, 24 retrospective interviews with refugees and other knowledgeable informants, and a voucher specimen collection of the plants and products cited. We recorded the use of 55 plant species, nine animal species, and six mineral products used within the three main use categories discussed in this paper: 1) Remedies for health issues that are typical of the desert environment where the Sahrawi once lived as nomads and now live as refugees (e.g. eye afflictions); 2) Remedies for wounds that are influenced by the Sahrawi's recent history of guerrilla warfare; and 3) Cosmetics and products used for body care, decoration and perfuming (e.g. hair care, teeth cleansing, henna use) and for aromatizing the air inside of tents and which are widely used in everyday life and social practices. We discuss the changes that have occurred in the patterns of use and procurement of these products with exile and sedentarization in refugee camps, and conclude that refugees are not simply passive recipients of national and international aid, but rather struggle to maintain and recover their traditional ethnobiological practices in exile. Finally, we suggest further research into the ethnobiological practices and knowledge of displaced populations.

The Spanish Exile Put to the Test: Polemics in the Pres between Indalecio Prieto and the Mexican Alfonso Junco regarding the gold aboard the yacht “Vita”

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Carlos Sola Ayape

2014-04-01

Full Text Available In November, 1946, just a few days before Miguel Alemán took charge as new president of Mexico, the Mexican press –concretely, the newspaper Novedades– would become an ink-and-paper stage for an important dialectic dispute between Alfonso Junco, a Mexican Catholic hispanicist, and Indalecio Prieto, a Spanish Socialist exile and undoubtedly, one of the most important political references of the Second Spanish Republic. Among the many questions left unanswered, there appeared the edges of one of the major issues that haunted the Spanish pilgrimage during its diaspora: the treasures removed before the end of the Civil War. This was so because the legitimation of Franco's regime was also built from the constant pages of accusations towards the “reds” in exile.

LFC based adaptive PID controller using ANN and ANFIS techniques

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Mohamed I. Mosaad

2014-12-01

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

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

NARCIS (Netherlands)

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

2009-01-01

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

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

Science.gov (United States)

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

2017-03-01

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

Antifascism: a space of encounter between exile and national policy. The case of Vicente Lombardo Toledano in Mexico (1936-1945)

OpenAIRE

Acle-Kreysing, Andrea

2016-01-01

This article puts forward an original interpretation of antifascism, understood as a transatlantic political culture, focusing upon the case of the union leader Vicente Lombardo Toledano. Between the Spanish Civil War and the Second World War, antifascism in Mexico acquired several meanings, centred on the reinvention of the Mexican Revolution's legacy, while benefiting from the collaboration between European antifascist exiles and local left-wing circles. Making use of novel sources, this ar...

Ann Arbor Session I: Breaking Ground.

Science.gov (United States)

Music Educators Journal, 1979

1979-01-01

Summarizes the first session of the National Symposium on the Applications of Psychology to the Teaching and Learning of Music held at Ann Arbor from October 30 to November 2, 1978. Sessions concerned auditory perception, motor learning, child development, memory and information processing, and affect and motivation. (SJL)

The idealization of origins among immigrants or exiled: the double function of maintaining identity and acculturation

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Stéphane Laurens

2014-07-01

Full Text Available In the case of emigrated or exiled individuals, the idealization of origins often becomes more marked in the beginning of the integration of these individuals in the host society. Thus, as they lose their language, their customs, to take those of the society of reception, they elaborate an idealized image of their past. This progressive differentiation between the idealized past and the actual reality facilitates the acculturation in the host society and at the same time allows for the preservation of their specific identity. It is this elaboration of the ideal and its emancipation of the daily realities, which will be approached here.

German-speaking exiles and the writing of Indian art history

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Devika Singh

2017-12-01

Full Text Available The German and Austrian origins of some of India’s leading art historians from the 1930s to the 1960s is an understudied dimension of art historiography that questions the knowledge hierarchies of the British Empire and the role of foreigners in Indian nation building. The article focuses on three figures who held key positions in the Indian art world (Ernst Cohn-Wiener, Hermann Goetz and Rudolf von Leyden and argues that such German-speaking exiles played a determining role in urgent debates of the time. Participating in the circulation of foreign art and ideas in India, especially in Bombay and Baroda, they significantly impacted on the selective process of the history of art. Far from propagating an esoteric, Hindu-centred perspective on Indian art, as did many Indian nationalist art historians, émigrés championed an inclusive take on art by integrating its Muslim as well as Hindu heritage. In addition they helped launch some of India’s most innovative artists. The article thus opens up broader discussions on art and nationalism, the building of a canon and the appropriation of modernism before and after Indian independence.

ANN based optimization of a solar assisted hybrid cooling system in Turkey

Energy Technology Data Exchange (ETDEWEB)

Ozgur, Arif; Yetik, Ozge; Arslan, Oguz [Mechanical Eng. Dept., Engineering Faculty, Dumlupinar University (Turkey)], email: maozgur@dpu.edu.tr, email: ozgeyetik@dpu.edu.tr, email: oarslan@dpu.edu.tr

2011-07-01

This study achieved optimization of a solar assisted hybrid cooling system with refrigerants such as R717, R141b, R134a and R123 using an artificial neural network (ANN) model based on average total solar radiation, ambient temperature, generator temperature, condenser temperature, intercooler temperature and fluid types. ANN is a new tool; it works rapidly and can thus be a solution for design and optimization of complex power cycles. A unique flexible ANN algorithm was introduced to evaluate the solar ejector cooling systems because of the nonlinearity of neural networks. The conclusion was that the best COPs value obtained with the ANN is 1.35 and COPc is 3.03 when the average total solar radiation, ambient temperature, generator temperature, condenser temperature, intercooler temperature and algorithm are respectively 674.72 W/m2, 17.9, 80, 15 and 13 degree celsius and LM with 14 neurons in single hidden layer, for R717.

A Hybrid FEM-ANN Approach for Slope Instability Prediction

Science.gov (United States)

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

2016-09-01

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

Comparison of Conventional and ANN Models for River Flow Forecasting

Science.gov (United States)

Jain, A.; Ganti, R.

2011-12-01

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

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

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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.

Annäherung Approaching

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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.This “Picture Book”, compiled by Stefan Moses, displays photographs of Ilse Aichinger. She is also given voice through a series of stories and poems. The reader is also drawn into this intimate dialogue, thus making it possible for image, text, and reader to converge.

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

Energy Technology Data Exchange (ETDEWEB)

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

2007-07-01

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

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…

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.

«No one has seen these images, but they exist»: The memory of exile in contemporary Argentina «Nadie habrá visto esas imágenes, pero existen»: a propósito de las memorias del exilio en la Argentina actual

Directory of Open Access Journals (Sweden)

Silvina JENSEN

2010-10-01

Full Text Available This paper examines how Argentines remember the experience of exile from the military dictatorship, with particular emphasis on the public discussion of the theme of exile in Argentine in recent years. Through a contextualization of the memory of exile in the struggle to keep alive the memory State terrorism, the article aims to show how since the mid-1990s we are witnessing a repositioning of the experience of exile in the memory of the years of repression. According to the author, this new social interest on exile –expressed in the emergence of a number of publications on exile, the development of cultural, legal and legislative spaces are giving rise to a public airing of the theme of exile– is less the result of the emergence of unpublished material, but more the result of a new vision which is emerging from the academic community and from society in general on the self-proclaimed «Process of National Reorganization». Este trabajo analiza los modos en que los argentinos recuerdan el exilio de la dictadura militar, enfatizando la peculiar inscripción pública del tema del exilio en la Argentina en los últimos años. A partir de la contextualización de la memoria del destierro en las luchas por el recuerdo del terrorismo de Estado pretendo mostrar cómo desde mediados de la década de 1990 se está produciendo un lento reposicionamiento del exilio en la memoria de la represión. A juicio de la autora, este nuevo interés social sobre el exilio –expresado en la publicación de literatura sobre el exilio, la configuración de escenarios culturales, judiciales y legislativos que convocan a problematizar al destierro, etc.– no es tanto el resultado de la aparición de información inédita, indicios desconocidos o flamantes huellas, sino de la nueva mirada que sobre los tiempos del autoproclamado «Proceso de Reorganización Nacional» se está articulando tanto desde la comunidad académica como de la sociedad en su conjunto.

Simulation model of ANN based maximum power point tracking controller for solar PV system

Energy Technology Data Exchange (ETDEWEB)

Rai, Anil K.; Singh, Bhupal [Department of Electrical and Electronics Engineering, Ajay Kumar Garg Engineering College, Ghaziabad 201009 (India); Kaushika, N.D.; Agarwal, Niti [School of Research and Development, Bharati Vidyapeeth College of Engineering, A-4 Paschim Vihar, New Delhi 110063 (India)

2011-02-15

In this paper the simulation model of an artificial neural network (ANN) based maximum power point tracking controller has been developed. The controller consists of an ANN tracker and the optimal control unit. The ANN tracker estimates the voltages and currents corresponding to a maximum power delivered by solar PV (photovoltaic) array for variable cell temperature and solar radiation. The cell temperature is considered as a function of ambient air temperature, wind speed and solar radiation. The tracker is trained employing a set of 124 patterns using the back propagation algorithm. The mean square error of tracker output and target values is set to be of the order of 10{sup -5} and the successful convergent of learning process takes 1281 epochs. The accuracy of the ANN tracker has been validated by employing different test data sets. The control unit uses the estimates of the ANN tracker to adjust the duty cycle of the chopper to optimum value needed for maximum power transfer to the specified load. (author)

Optimization of Nd: YAG Laser Marking of Alumina Ceramic Using RSM And ANN

International Nuclear Information System (INIS)

Peter, Josephine; Doloi, B.; Bhattacharyya, B.

2011-01-01

The present research papers deals with the artificial neural network (ANN) and the response surface methodology (RSM) based mathematical modeling and also an optimization analysis on marking characteristics on alumina ceramic. The experiments have been planned and carried out based on Design of Experiment (DOE). It also analyses the influence of the major laser marking process parameters and the optimal combination of laser marking process parametric setting has been obtained. The output of the RSM optimal data is validated through experimentation and ANN predictive model. A good agreement is observed between the results based on ANN predictive model and actual experimental observations.

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

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

Directory of Open Access Journals (Sweden)

E. Gülbandılar

2017-01-01

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

Application of ANN-SCE model on the evaluation of automatic generation control performance

Energy Technology Data Exchange (ETDEWEB)

Chang-Chien, L.R.; Lo, C.S.; Lee, K.S. [National Cheng Kung Univ., Tainan, Taiwan (China)

2005-07-01

An accurate evaluation of load frequency control (LFC) performance is needed to balance minute-to-minute electricity generation and demand. In this study, an artificial neural network-based system control error (ANN-SCE) model was used to assess the performance of automatic generation controls (AGC). The model was used to identify system dynamics for control references in supplementing AGC logic. The artificial neural network control error model was used to track a single area's LFC dynamics in Taiwan. The model was used to gauge the impacts of regulation control. Results of the training, evaluating, and projecting processes showed that the ANN-SCE model could be algebraically decomposed into components corresponding to different impact factors. The SCE information obtained from testing of various AGC gains provided data for the creation of a new control approach. The ANN-SCE model was used in conjunction with load forecasting and scheduled generation data to create an ANN-SCE identifier. The model successfully simulated SCE dynamics. 13 refs., 10 figs.

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

Prediction of Film Cooling Effectiveness on a Gas Turbine Blade Leading Edge Using ANN and CFD

Science.gov (United States)

Dávalos, J. O.; García, J. C.; Urquiza, G.; Huicochea, A.; De Santiago, O.

2018-05-01

In this work, the area-averaged film cooling effectiveness (AAFCE) on a gas turbine blade leading edge was predicted by employing an artificial neural network (ANN) using as input variables: hole diameter, injection angle, blowing ratio, hole and columns pitch. The database used to train the network was built using computational fluid dynamics (CFD) based on a two level full factorial design of experiments. The CFD numerical model was validated with an experimental rig, where a first stage blade of a gas turbine was represented by a cylindrical specimen. The ANN architecture was composed of three layers with four neurons in hidden layer and Levenberg-Marquardt was selected as ANN optimization algorithm. The AAFCE was successfully predicted by the ANN with a regression coefficient R2<0.99 and a root mean square error RMSE=0.0038. The ANN weight coefficients were used to estimate the relative importance of the input parameters. Blowing ratio was the most influential parameter with relative importance of 40.36 % followed by hole diameter. Additionally, by using the ANN model, the relationship between input parameters was analyzed.

Quick and reliable estimation of power distribution in a PHWR by ANN

International Nuclear Information System (INIS)

Dubey, B.P.; Jagannathan, V.; Kataria, S.K.

1998-01-01

Knowledge of the distribution of power in all the channels of a Pressurised Heavy Water Reactor (PHWR) as a result of a perturbation caused by one or more of the regulating devices is very important from the operation and maintenance point of view of the reactor. Theoretical design codes available for this purpose take several minutes to calculate the channel power distribution on modern PCs. Artificial Neural networks (ANNs) have been employed in predicting channel power distribution of Indian PHWRs for any given configuration of regulating devices of the reactor. ANNs produce the result much faster and with good accuracy. This paper describes the methodology of ANN, its reliability, the validation range, and scope for its possible on-line use in the actual reactor

The Royal Summer Palace, Ferdinand I and Anne

Czech Academy of Sciences Publication Activity Database

Dobalová, Sylva

2015-01-01

Roč. 7, č. 2 (2015), s. 162-175 ISSN 1804-1132 Institutional support: RVO:68378033 Keywords : Anne of Jagiello * Prague Castle * Ferdinand I of Habsburg * olive tree * dynasticism Subject RIV: AL - Art, Architecture, Cultural Heritage

Prediction of Chl-a concentrations in an eutrophic lake using ANN models with hybrid inputs

Science.gov (United States)

Aksoy, A.; Yuzugullu, O.

2017-12-01

Chlorophyll-a (Chl-a) concentrations in water bodies exhibit both spatial and temporal variations. As a result, frequent sampling is required with higher number of samples. This motivates the use of remote sensing as a monitoring tool. Yet, prediction performances of models that convert radiance values into Chl-a concentrations can be poor in shallow lakes. In this study, Chl-a concentrations in Lake Eymir, a shallow eutrophic lake in Ankara (Turkey), are determined using artificial neural network (ANN) models that use hybrid inputs composed of water quality and meteorological data as well as remotely sensed radiance values to improve prediction performance. Following a screening based on multi-collinearity and principal component analysis (PCA), dissolved-oxygen concentration (DO), pH, turbidity, and humidity were selected among several parameters as the constituents of the hybrid input dataset. Radiance values were obtained from QuickBird-2 satellite. Conversion of the hybrid input into Chl-a concentrations were studied for two different periods in the lake. ANN models were successful in predicting Chl-a concentrations. Yet, prediction performance declined for low Chl-a concentrations in the lake. In general, models with hybrid inputs were superior over the ones that solely used remotely sensed data.

Comparison of ANN and RKS approaches to model SCC strength

Science.gov (United States)

Prakash, Aravind J.; Sathyan, Dhanya; Anand, K. B.; Aravind, N. R.

2018-02-01

Self compacting concrete (SCC) is a high performance concrete that has high flowability and can be used in heavily reinforced concrete members with minimal compaction segregation and bleeding. The mix proportioning of SCC is highly complex and large number of trials are required to get the mix with the desired properties resulting in the wastage of materials and time. The research on SCC has been highly empirical and no theoretical relationships have been developed between the mixture proportioning and engineering properties of SCC. In this work effectiveness of artificial neural network (ANN) and random kitchen sink algorithm(RKS) with regularized least square algorithm(RLS) in predicting the split tensile strength of the SCC is analysed. Random kitchen sink algorithm is used for mapping data to higher dimension and classification of this data is done using Regularized least square algorithm. The training and testing data for the algorithm was obtained experimentally using standard test procedures and materials available. Total of 40 trials were done which were used as the training and testing data. Trials were performed by varying the amount of fine aggregate, coarse aggregate, dosage and type of super plasticizer and water. Prediction accuracy of the ANN and RKS model is checked by comparing the RMSE value of both ANN and RKS. Analysis shows that eventhough the RKS model is good for large data set, its prediction accuracy is as good as conventional prediction method like ANN so the split tensile strength model developed by RKS can be used in industries for the proportioning of SCC with tailor made property.

Ilmus artiklikogumik "Eesti teadlased paguluses" / Anne Valmas

Index Scriptorium Estoniae

Valmas, Anne, 1941-2017

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

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

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

OpenAIRE

KHORASHADI-ZADEH, Hassan; LI, Zuyi

2014-01-01

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...

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

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...

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.

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"

Translatio studii: The contribution of exiles to the establishment of Sociology and Art History in Britain, 1933-1960

Directory of Open Access Journals (Sweden)

Burke, Peter

2009-10-01

Full Text Available This story is a small part of a larger one, the Great Diaspora of central and east European intellectuals in the 1930s, to Britain, USA, France, Latin America etc. Exile may be regarded as a school, a form of adult education, not only for the exiles themselves but also for some of the natives who came to know them. Focussing still more sharply, let us consider the intellectual consequences of the diaspora on an insular culture, with special reference to two relatively new and small disciplines. Both sociology and art history were more highly developed in central Europe in the 1930s than they were in Britain, allowing a few remarkable immigrants to make a contribution quite disproportionate to their numbers. How does one establish a new discipline? In short, what is offered here is a kind of social history or historical sociology of both art history and sociology itself, suggesting that the contribution of the exiles should be regarded not a simple import or transfer of knowledge but rather as a cultural encounter leading to changes on both sides, to a kind of cultural hybridization.Este ensayo es una pequeña parte de una historia más amplia, la gran diáspora de intelectuales del Centro y Este de Europa en los años treinta, hacia Gran Bretaña, EEUU, Francia, América latina, etc. El exilio puede ser observado como una escuela, una forma de educación de adultos, no sólo para los propios exiliados sino también para algunos de los nativos que llegaron a conocerlos. De forma más precisa, consideramos las consecuencias intelectuales de la diáspora en una cultura insular, con mención especial a dos disciplinas relativamente nuevas y pequeñas. La sociología y la historia del arte estaban en los años treinta mucho más desarrolladas en Europa central de lo que lo estaban en las islas Británicas, permitiendo a algunos destacados inmigrantes realizar una desproporcionada contribución si tenemos en cuenta su número. ¿Cómo se establece una

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

Indian Academy of Sciences (India)

1Department of Soil and Water Engineering, College of Technology and Engineering, Maharana Pratap. University of ... It was found that, ANN model performance improved with increasing .... algorithm uses supervised learning that provides.

Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study.

Science.gov (United States)

Kamesh, Reddi; Rani, Kalipatnapu Yamuna

2017-12-01

In this paper, a novel formulation for nonlinear model predictive control (MPC) has been proposed incorporating the extended Kalman filter (EKF) control concept using a purely data-driven artificial neural network (ANN) model based on measurements for supervisory control. The proposed scheme consists of two modules focusing on online parameter estimation based on past measurements and control estimation over control horizon based on minimizing the deviation of model output predictions from set points along the prediction horizon. An industrial case study for temperature control of a multiproduct semibatch polymerization reactor posed as a challenge problem has been considered as a test bed to apply the proposed ANN-EKFMPC strategy at supervisory level as a cascade control configuration along with proportional integral controller [ANN-EKFMPC with PI (ANN-EKFMPC-PI)]. The proposed approach is formulated incorporating all aspects of MPC including move suppression factor for control effort minimization and constraint-handling capability including terminal constraints. The nominal stability analysis and offset-free tracking capabilities of the proposed controller are proved. Its performance is evaluated by comparison with a standard MPC-based cascade control approach using the same adaptive ANN model. The ANN-EKFMPC-PI control configuration has shown better controller performance in terms of temperature tracking, smoother input profiles, as well as constraint-handling ability compared with the ANN-MPC with PI approach for two products in summer and winter. The proposed scheme is found to be versatile although it is based on a purely data-driven model with online parameter estimation.

Kui vana on kunstnik? / Anneli Porri

Index Scriptorium Estoniae

Porri, Anneli, 1980-

2003-01-01

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

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

Science.gov (United States)

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.

2016-03-01

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 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. This research supported in part by the DOE Office of Nuclear Physics Grant Number DE-FG02-97ER41033

The Exile of Hansen's Disease Patients to Moloka'i: A Diffusion of Innovations Perspective.

Science.gov (United States)

Pitman Harris, Adrea; Matusitz, Jonathan

2016-07-01

This article analyzes the exile of patients with Hansen's disease (leprosy) to Moloka'i (Hawaii) by applying the diffusion of innovations (DoI) theory. Developed by Rogers, DoI posits that an innovation (i.e., idea, movement, or trend) is initiated within a culture. Then, it is diffused via particular channels across diverse cultures. Instead of evolving independently, innovations diffuse from one culture to another through various forms of contact and communication. In the context of this analysis, the objective is to examine how the diffusion of certain ideas, namely, abolishing the stigma associated with leprosy, could have improved the lives of Hawaiians. An important premise of this article is that the Hawaiian government barely applied the tenets of DoI, which is the reason why many people lost their lives. So, this article seeks to explore what could have been done to improve their situation and what pitfalls should be avoided in the future.

Whole-body counting in the Marshall Islands

International Nuclear Information System (INIS)

Sun, L.C.; Clinton, J.; Kaplan, E.; Meinhold, C.B.

1991-01-01

In 1978 the Marshall Islands Radiological Safety Program was organized to perform radiation measurements and assess radiation doses for the people of the Bikini, Enewetak, Rongelap and Utirik Atolls. One of the major field components of this program is whole- body counting (WBC). WBC is used to monitor the quantity of gamma- emitting radionuclides present in individuals. A primary objective of the program was to establish 137 Cesium body contents among the Enewetak, Rongelap and Utirik populations. 137 Cs was the only gamma-emitting fission radionuclide detected in the 1,967 persons monitored. 137 Cs body burdens tended to increase with age for both sexes, and were higher in males. The average 137 Cs dose Annual Effective Dose for the three populations was as follows: For Enewetak, the dose was 22±4 μSv. For Utirik, the dose was 33± 3 μSv. Since 1985 the Rongelap people have been self-exiled to Mejatto. Biological elimination should have reduced their dose to virtually zero, and the measured dose was 2±2 μSv. If they had remained on Rongelap Island, the calculated dose would have been 99 μSv, which is about one-third of the background dose. 7 refs., 1 tab

Será possível acabar de uma vez por todas com o exílio? "O xale", de Cynthia Ozick Can we finish with exile? "The shawl" by Cynthia Ozick

Directory of Open Access Journals (Sweden)

Max Kohn

2009-06-01

Full Text Available O exílio, do francês antigo essil, que provém do latim exsillum, significa a expulsão de alguém de sua pátria, com proibição de retornar. É a obrigação de residir fora de um lugar, longe de uma pessoa cuja ausência é lamentada. No conto "The shawl" [O xale] da escritora norte-americana Cynthia Ozick, o xale do bebê pode ser bebido como um líquido, como se o sujeito fosse uma criança, como se fosse seu próprio filho. Nós não podemos sair de uma vez por todas de nossa condição de infans, aquele que não fala. Não há paraíso perdido do qual estaríamos exilados - nossa infância, por exemplo.Can we finish with exile? Exile, from the old French essil, which comes from the Latin exsillum, means the expelling of someone from his/her homeland and the forbidding to return. It's the enforcement to living out of a place, away from someone whose absence is mourned. In the novel The Shawl, by the American novelist Cynthia Ozick, the baby's shawl can be drunk as if it was liquid, as if one were a baby, one's own child. We cannot leave once and forever our condition of infans, that which doesn't speak. There's no lost paradise from where we were exiled - our childhood, for instance.

Modeling of an Aged Porous Silicon Humidity Sensor Using ANN Technique

Directory of Open Access Journals (Sweden)

Tarikul ISLAM

2006-10-01

Full Text Available Porous silicon (PS sensor based on capacitive technique used for measuring relative humidity has the advantages of low cost, ease of fabrication with controlled structure and CMOS compatibility. But the response of the sensor is nonlinear function of humidity and suffers from errors due to aging and stability. One adaptive linear (ADALINE ANN model has been developed to model the behavior of the sensor with a view to estimate these errors and compensate them. The response of the sensor is represented by third order polynomial basis function whose coefficients are determined by the ANN technique. The drift in sensor output due to aging of PS layer is also modeled by adapting the weights of the polynomial function. ANN based modeling is found to be more suitable than conventional physical modeling of PS humidity sensor in changing environment and drift due to aging. It helps online estimation of nonlinearity as well as monitoring of the fault of the PS humidity sensor using the coefficients of the model.

La nostalgie des jours heureux contre le vent rude et glacial de l’exil, chez Jorge Semprun

Directory of Open Access Journals (Sweden)

Beatriz Coca Méndez

2013-11-01

Full Text Available Semprun recalled: "my only identity link was my own memory", link also nurtured by his poetic memory, from which it drew the words that give life to his stories. There are also narrative processes that Jorge Semprun used in Adieu, vive clarté…, in order to witness the devastated landscape of his soul: his exile, deportation and life underground. Indeed, for Semprun to cultivate the memory and the testimony is necessary to frame the moral of the resistance in the context of his experiences. In addition, it is through writing that Semprun found freedom and the dignity of human beings. If this was expressed in French this linguistic choice relates to bilingual stateless status which characterizes the author.

A Trigger-less Acquisition System for the EXILL Large Germanium Detectors Array

International Nuclear Information System (INIS)

Mutti, Paolo; Blanc, Aurelian; Jentschel, Michael; Koester, Ulli; Ruiz Martinez, Emilio; Soldner, Torsten; France, Gilles de; Simpson, Gary; Ur, Calin A.; Urban, Waldemar

2013-06-01

The combination of the intense cold neutron beam available at the PF1b beam position of the Institute Laue- Langevin (ILL) in Grenoble, together with the high detection efficiency of a large array of high purity Ge detectors (HPGe) has offered a unique opportunity for a set of experiments devoted to nuclear spectroscopy on stable isotopes as well as on exotic nuclei produced in the fission process of uranium and plutonium samples. The emitted γ -rays from neutron capture on stable targets as well as from the decay of fission fragments have been acquired in a trigger-less mode to preserve a maximum of information for further off-line treatment. A dedicated fully digital acquisition system using a combination of a 14-bit 100 MS/s digitizers with a Power PC-based VME single board computer has been developed to ensure data collection and real-time processing capabilities. The present article will describe the experimental setup as well as the specific electronic configuration used during the EXILL campaign of measurements with particular emphasis on the technical achievements as well as on the preliminary results obtained in the various experiments. (authors)

A Gum-Tree Exile: Randolph Bedford in Italy

Directory of Open Access Journals (Sweden)

Lucy Jane Sussex

2012-11-01

Full Text Available Randolph Bedford (1868–1941 was an Australian journalist, politician and novelist, a lifelong socialist despite making a small fortune from mining. He was among the ‘brain drain’ of Australians at the turn of last century, who hoped to emulate Melba’s success in England. Many of his contemporaries, such as Henry Lawson, experienced disillusion and poverty, and returned home. Bedford differed in his versatility, and also his profound rejection of the British Empire. He could not sell his novels initially, nor his speculations to British investors, but was able to put his mining experience to use in Italy. There he became one of the first Australians to fall in love with the country. His attraction to Italy was partly aesthetic, its artistic glories, but also because it reinforced his sentimental Australian nationalism. He saw similarities in landscape, and also in climate. He wrote despatches back to the Bulletin called ‘Explorations in Civilization’, which became a book in 1916. The subtitle was ‘An Australian in Exile’, reversing the ‘Exiles We’, of the first settlers, with their nostalgia for Britain. In contrast, Bedford saw nothing good in London and the Empire. He disliked it upon first sight, and his irreverence and socialist sympathies had no place in the conservative British investment milieu. Bedford would sell two novels in Britain, via Henry Lawson (whom he helped in London and his literary agent J. B. Pinker. But he returned home, certain expatriate life was not for him, and devoted his energies to Australia. His real success was in Explorations in Civilization, superb travel-writing, perhaps his best work. It shows his love for his country being reinforced through the perceived similarities between it and Italy, a second homeland for him. He even paid its people his highest compliment: that they were his preferred settlers for Australia.

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

Directory of Open Access Journals (Sweden)

Sulafa Hag Elsafi

2014-09-01

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

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

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

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.

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

Directory of Open Access Journals (Sweden)

Hing Wah LEE

2009-03-01

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

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

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

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

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

Science.gov (United States)

Chandrasekaran, Muthumari; Tamang, Santosh

2017-08-01

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

Prediction of scour below submerged pipeline crossing a river using ANN.

Science.gov (United States)

Azamathulla, H M; Zakaria, Nor Azazi

2011-01-01

The process involved in the local scour below pipelines is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour. This paper describes the use of artificial neural networks (ANN) to estimate the pipeline scour depth. The data sets of laboratory measurements were collected from published works and used to train the network or evolve the program. The developed networks were validated by using the observations that were not involved in training. The performance of ANN was found to be more effective when compared with the results of regression equations in predicting the scour depth around pipelines.

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

Energy Technology Data Exchange (ETDEWEB)

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

2017-09-15

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

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

International Nuclear Information System (INIS)

Yildiz, Sayiter

2017-01-01

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

Intelligent MRTD testing for thermal imaging system using ANN

Science.gov (United States)

Sun, Junyue; Ma, Dongmei

2006-01-01

The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task, for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type, the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP, but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly, we use frame grabber to capture the 4-bar target image data. Then according to image gray scale, we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets, along with known target visibility, are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm, demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.

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

Science.gov (United States)

... their own lives back is the most rewarding thing we have ever done. Read More "The Challenge of COPD" Articles Q&A: Grace Anne Koppel, Living Well with COPD / What is COPD? / What Causes COPD? / Getting Tested / Am I at Risk? / COPD Quiz Fall ...

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

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

Chantal Taylor

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

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

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

Chantal Taylor

Ottawa. Airfare: $563.72. Other. Transportation: $74.26. Accommodation: $0.00. Meals and. Incidentals: $46.17. Other: $30.00. Total: $714.15. Comments: From residence in Thornhill, Ontario. 2017-2018 Travel Expense Reports for Mary. Anne Chambers, Governor, Chairperson of the. Human Resources Committee.

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.

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

Institute of Scientific and Technical Information of China (English)

Xia Hua; Gang Zhang; Jiawei Yang; Zhengyuan Li

2015-01-01

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

La légitimation du rock en URSS dans les années 1970-1980

OpenAIRE

Zaytseva, Anna

2017-01-01

RésuméL'article analyse le chemin parcouru par le rock en URSS puis en Russie, de l'état d'une (sous)culture occidentalisée anglophone, ayant trouvé refuge dans les discothèques des années 1960-1970, jusqu'au canon du russkij rok actuel, devenu presque synonyme de poésie chantée, via sa légitimation progressive dans les années 1980. Celle-ci a été amorcée à la fin des années 1970 avec l’arrivée en force d'une nouvelle génération artistique au sein de l'underground rock (« nouvelle vague » de ...

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

Directory of Open Access Journals (Sweden)

Jie Zhou

2015-07-01

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

Fictionalization, conscientization and the trope of exile in Amandla and Third Generation

Directory of Open Access Journals (Sweden)

J. Geertsema

1993-05-01

Full Text Available The purpose of this article is to examine Amandla (by Miriam TIali and Third Generation (by Sipho Sepamla as anti-apartheid novels of resistance which are faced by a number of serious contradictions. The article is an attempt to analyse the ways in which these texts seek to cope, on the one hand, with what seems to be a lost cause, a struggle without an end, and on the other hand with their own status as fictional texts which attempt to change precisely that which seems to deny all possibilities of subversion. Both texts attempt to make sense of a reality which is perceived to be so horrifyingly real as to be fictional (in the sense of the fictive, unreal, ethereal. On the one hand the power of the apartheid state is seen to be insurmountable, and on the other hand, that stale has to be subverted and destroyed. The resulting dialectic, posited in the texts, of the state of affairs in reality and the state of affairs that is desired, can only be solved by the use of the trope of exile as an imaginary resolution to a very real contradiction in order to achieve at least some measure of conscientization in the readership.

Data-Driven Modeling of Complex Systems by means of a Dynamical ANN

Science.gov (United States)

Seleznev, A.; Mukhin, D.; Gavrilov, A.; Loskutov, E.; Feigin, A.

2017-12-01

The data-driven methods for modeling and prognosis of complex dynamical systems become more and more popular in various fields due to growth of high-resolution data. We distinguish the two basic steps in such an approach: (i) determining the phase subspace of the system, or embedding, from available time series and (ii) constructing an evolution operator acting in this reduced subspace. In this work we suggest a novel approach combining these two steps by means of construction of an artificial neural network (ANN) with special topology. The proposed ANN-based model, on the one hand, projects the data onto a low-dimensional manifold, and, on the other hand, models a dynamical system on this manifold. Actually, this is a recurrent multilayer ANN which has internal dynamics and capable of generating time series. Very important point of the proposed methodology is the optimization of the model allowing us to avoid overfitting: we use Bayesian criterion to optimize the ANN structure and estimate both the degree of evolution operator nonlinearity and the complexity of nonlinear manifold which the data are projected on. The proposed modeling technique will be applied to the analysis of high-dimensional dynamical systems: Lorenz'96 model of atmospheric turbulence, producing high-dimensional space-time chaos, and quasi-geostrophic three-layer model of the Earth's atmosphere with the natural orography, describing the dynamics of synoptical vortexes as well as mesoscale blocking systems. The possibility of application of the proposed methodology to analyze real measured data is also discussed. The study was supported by the Russian Science Foundation (grant #16-12-10198).

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

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

Beata Bialic

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

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

Science.gov (United States)

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

2013-11-01

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

Anne Sütü ve Mikrobiyota Gelişimi

OpenAIRE

GÜNEY, Rabiye; ÇINAR, Nursan

2017-01-01

Sağlıklı mikrobiyotanın etkisine yönelik yapılan çalışmalarda, çocukların gelecekteki sağlığı için mikrobiyota gelişiminin büyük önem taşıdığı vurgulanmaktadır. Astım, şeker hastalığı, obezite gibi birçok hastalığın zarar görmüş ya da gelişmemiş bağırsak mikrobiyotası ile yakın ilişkisi bulunmaktadır. Anne sütü, sağlıklı bir bağırsak mikrobiyotasının gelişmesi için bebeğe aktarılan çok sayıda non-patojen bakteriyi içinde barındırmaktadır. Bununla birlikte, anne sütündeki mikroorganizmaların n...

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.

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

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

Beata Bialic

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

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

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

chantal taylor

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

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

DEFF Research Database (Denmark)

Aumüller, Martin; Bernhardsson, Erik; Faithfull, Alexander

2017-01-01

This paper describes ANN-Benchmarks, a tool for evaluating the performance of in-memory approximate nearest neighbor algorithms. It provides a standard interface for measuring the performance and quality achieved by nearest neighbor algorithms on different standard data sets. It supports several...... visualise these as images, Open image in new window plots, and websites with interactive plots. ANN-Benchmarks aims to provide a constantly updated overview of the current state of the art of k-NN algorithms. In the short term, this overview allows users to choose the correct k-NN algorithm and parameters...... for their similarity search task; in the longer term, algorithm designers will be able to use this overview to test and refine automatic parameter tuning. The paper gives an overview of the system, evaluates the results of the benchmark, and points out directions for future work. Interestingly, very different...

Dynamics of H II regions around exiled O stars

Science.gov (United States)

Mackey, Jonathan; Langer, Norbert; Gvaramadze, Vasilii V.

2013-11-01

At least 25 per cent of massive stars are ejected from their parent cluster, becoming runaways or exiles, travelling with often-supersonic space velocities through the interstellar medium (ISM). Their overpressurized H II regions impart kinetic energy and momentum to the ISM, compress and/or evaporate dense clouds, and can constrain properties of both the star and the ISM. Here, we present one-, two- and (the first) three-dimensional simulations of the H II region around a massive star moving supersonically through a uniform, magnetized ISM, with properties appropriate for the nearby O star ζ Oph. The H II region leaves an expanding overdense shell behind the star and, inside this, an underdense wake that should be filled with hot gas from the shocked stellar wind. The gas column density in the shell is strongly influenced by the ISM magnetic field strength and orientation. Hα emission maps show that H II region remains roughly circular, although the star is displaced somewhat from the centre of emission. For our model parameters, the kinetic energy feedback from the H II region is comparable to the mechanical luminosity of the stellar wind, and the momentum feedback rate is >100 times larger than that from the wind and ≈10 times larger than the total momentum input rate available from radiation pressure. Compared to the star's eventual supernova explosion, the kinetic energy feedback from the H II region over the star's main-sequence lifetime is >100 times less, but the momentum feedback is up to 4 times larger. H II region dynamics are found to have only a small effect on the ISM conditions that a bow shock close to the star would encounter.

L’Allemagne : un non – lieu pour les exiles judéo-allemands après 1945 ?

OpenAIRE

Bohnekamp, Dorothea

2017-01-01

L’omniprésence de l’Allemagne dans les productions littéraires des exilés judéo-allemands en France après 1945 pose tout d’abord la question des différentes représentations de ce pays chez les rescapés. Le nombre important de métaphores spatiales interroge plus particulièrement le rôle de l’espace, matériel/urbain ou symbolique, dans la mémoire des émigrants et dans la reconstruction d’une Heimat souvent imaginaire. Après la guerre, cet attachement souvent ambivalent à l’Allemagne comme patri...

A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery

Directory of Open Access Journals (Sweden)

Songrong Luo

2016-01-01

Full Text Available The fault diagnosis process is essentially a class discrimination problem. However, traditional class discrimination methods such as SVM and ANN fail to capitalize the interactions among the feature variables. Variable predictive model-based class discrimination (VPMCD can adequately use the interactions. But the feature extraction and selection will greatly affect the accuracy and stability of VPMCD classifier. Aiming at the nonstationary characteristics of vibration signal from rotating machinery with local fault, singular value decomposition (SVD technique based local characteristic-scale decomposition (LCD was developed to extract the feature variables. Subsequently, combining artificial neural net (ANN and mean impact value (MIV, ANN-MIV as a kind of feature selection approach was proposed to select more suitable feature variables as input vector of VPMCD classifier. In the end of this paper, a novel fault diagnosis model based on LCD-SVD-ANN-MIV and VPMCD is proposed and proved by an experimental application for roller bearing fault diagnosis. The results show that the proposed method is effective and noise tolerant. And the comparative results demonstrate that the proposed method is superior to the other methods in diagnosis speed, diagnosis success rate, and diagnosis stability.

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

Indian Academy of Sciences (India)

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

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

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

Beata Bialic

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

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

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

Beata Bialic

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

Aspekte van die outeursfunksie in Antjie Krog se Lady Anne (1989)

OpenAIRE

M. Crous

2002-01-01

Aspects of the author function in Antjie Krog’s Lady Anne (1989) The purpose of this essay is to investigate the Foucauldian notion of the so-called “author function” in Antjie Krog’s seventh volume of poetry, viz. Lady Anne (1989). It is an attempt to show how the notion of the death of the author (Barthes) links up with this theorisation of Foucault. Furthermore, it is also an attempt to indicate the characteristic features of the so-called “author function” in the late eighties in Afr...

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

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...

Development and Application of ANN Model for Worker Assignment into Virtual Cells of Large Sized Configurations

International Nuclear Information System (INIS)

Murali, R. V.; Fathi, Khalid; Puri, A. B.

2010-01-01

This paper presents an extended version of study already undertaken on development of an artificial neural networks (ANNs) model for assigning workforce into virtual cells under virtual cellular manufacturing systems (VCMS) environments. Previously, the same authors have introduced this concept and applied it to virtual cells of two-cell configuration and the results demonstrated that ANNs could be a worth applying tool for carrying out workforce assignments. In this attempt, three-cell configurations problems are considered for worker assignment task. Virtual cells are formed under dual resource constraint (DRC) context in which the number of available workers is less than the total number of machines available. Since worker assignment tasks are quite non-linear and highly dynamic in nature under varying inputs and conditions and, in parallel, ANNs have the ability to model complex relationships between inputs and outputs and find similar patterns effectively, an attempt was earlier made to employ ANNs into the above task. In this paper, the multilayered perceptron with feed forward (MLP-FF) neural network model has been reused for worker assignment tasks of three-cell configurations under DRC context and its performance at different time periods has been analyzed. The previously proposed worker assignment model has been reconfigured and cell formation solutions available for three-cell configuration in the literature are used in combination to generate datasets for training ANNs framework. Finally, results of the study have been presented and discussed.

ANNE TONER. Ellipsis in English Literature: Signs of Omission

DEFF Research Database (Denmark)

Lupton, Tina Jane

2016-01-01

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

Portuguese knights-errant in nineteenth-century Paris and Rio: translation as response to exile in global cities

Directory of Open Access Journals (Sweden)

Rita Bueno Maia

2017-01-01

Full Text Available This article aims to uncover the role played by a series of picaresque novels translated into Portuguese and published in midnineteenth-century Paris in helping the Portuguese diaspora cope with the challenges of being a migrant in a global city. Through a contextual analysis, it will be argued that these novels were part of vaster cultural projects aimed at establishing solidarity networks among Portuguese exiles in Paris and, at the same time, at preserving multilingualism. By means of a textual analysis of Dom Severino Magriço ou o Dom Quichote portuguez (Paris, Pillet Fils Aîné, 1851, it will be suggested that this particular target text is committed to helping Portuguese migrants in Paris and in Rio de Janeiro. Furthermore, this novel illustrates ways of engaging with multiple Others, mainly through the reading and comparing of national literary canons.

Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM

Directory of Open Access Journals (Sweden)

Igor Peško

2017-01-01

Full Text Available Offer preparation has always been a specific part of a building process which has significant impact on company business. Due to the fact that income greatly depends on offer’s precision and the balance between planned costs, both direct and overheads, and wished profit, it is necessary to prepare a precise offer within required time and available resources which are always insufficient. The paper presents a research of precision that can be achieved while using artificial intelligence for estimation of cost and duration in construction projects. Both artificial neural networks (ANNs and support vector machines (SVM are analysed and compared. The best SVM has shown higher precision, when estimating costs, with mean absolute percentage error (MAPE of 7.06% compared to the most precise ANNs which has achieved precision of 25.38%. Estimation of works duration has proved to be more difficult. The best MAPEs were 22.77% and 26.26% for SVM and ANN, respectively.

Identité hors territoire. Les élites espagnoles exilées en France sous la dictature de Primo de Rivera (1923-1930

Directory of Open Access Journals (Sweden)

Elvire Diaz

2006-09-01

Full Text Available Le territoire étant un point d’ancrage de l’identité individuelle et nationale, nous verrons dans ce travail si hors territoire, il peut y avoir préservation de l’identité, individuelle, collective, nationale, débouchant sur une dé-territorialisation, au sens défini par Gilles Deleuze. Notre objet d’étude portera sur le cas d’une micro-société hors territoire, les élites intellectuelles espagnoles exilées en France sous la dictature du Général Miguel Primo de Rivera (1923-1930.Le général Mig...

Why philosophy and history matter : A conversation with Ann Taves

NARCIS (Netherlands)

von Stuckrad, C.K.M.

2010-01-01

The article picks up some ideas that Ann Taves presents in her book Religious Experience Reconsidered, and looks at possible conversations that are not fleshed out in detail in Taves' book. In particular, it is argued that the disciplinary confrontation with philosophy and with historiography is of

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

Science.gov (United States)

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

2016-11-01

This article presents an application of artificial neural network (ANN) modelling towards prediction of depth filter loading capacity for clarification of a monoclonal antibody (mAb) product during commercial manufacturing. The effect of operating parameters on filter loading capacity was evaluated based on the analysis of change in the differential pressure (DP) as a function of time. The proposed ANN model uses inlet stream properties (feed turbidity, feed cell count, feed cell viability), flux, and time to predict the corresponding DP. The ANN contained a single output layer with ten neurons in hidden layer and employed a sigmoidal activation function. This network was trained with 174 training points, 37 validation points, and 37 test points. Further, a pressure cut-off of 1.1 bar was used for sizing the filter area required under each operating condition. The modelling results showed that there was excellent agreement between the predicted and experimental data with a regression coefficient (R 2 ) of 0.98. The developed ANN model was used for performing variable depth filter sizing for different clarification lots. Monte-Carlo simulation was performed to estimate the cost savings by using different filter areas for different clarification lots rather than using the same filter area. A 10% saving in cost of goods was obtained for this operation. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1436-1443, 2016. © 2016 American Institute of Chemical Engineers.

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

International Nuclear Information System (INIS)

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

2015-01-01

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 and 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. (paper)

Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.

Science.gov (United States)

Sun, Feifei; Yu, Qingni; Zhu, Jingke; Lei, Lecheng; Li, Zhongjian; Zhang, Xingwang

2015-09-01

Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubility of NHCs. With genetic algorithm-multivariate linear regression (GA-MLR) approach, five out of the 1497 molecular descriptors computed by Dragon software were selected to describe the molecular structures of NHCs. Using the five selected molecular descriptors as well as pH and the partial charge on the nitrogen atom of NHCs (QN) as inputs of ANN, a quantitative structure-property relationship (QSPR) model without using Henderson-Hasselbalch (HH) equation was successfully developed to predict the aqueous solubility of NHCs in different pH water solutions. The prediction model performed well on the 25 model NHCs with an absolute average relative deviation (AARD) of 5.9%, while HH approach gave an AARD of 36.9% for the same model NHCs. It was found that QN played a very important role in the description of NHCs and, with QN, ANN became a potential tool for the prediction of pH-dependent solubility of NHCs. Copyright © 2015 Elsevier Ltd. All rights reserved.

Estimating SPT-N Value Based on Soil Resistivity using Hybrid ANN-PSO Algorithm

Science.gov (United States)

Nur Asmawisham Alel, Mohd; Ruben Anak Upom, Mark; Asnida Abdullah, Rini; Hazreek Zainal Abidin, Mohd

2018-04-01

Standard Penetration Resistance (N value) is used in many empirical geotechnical engineering formulas. Meanwhile, soil resistivity is a measure of soil’s resistance to electrical flow. For a particular site, usually, only a limited N value data are available. In contrast, resistivity data can be obtained extensively. Moreover, previous studies showed evidence of a correlation between N value and resistivity value. Yet, no existing method is able to interpret resistivity data for estimation of N value. Thus, the aim is to develop a method for estimating N-value using resistivity data. This study proposes a hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) method to estimate N value using resistivity data. Five different ANN-PSO models based on five boreholes were developed and analyzed. The performance metrics used were the coefficient of determination, R2 and mean absolute error, MAE. Analysis of result found that this method can estimate N value (R2 best=0.85 and MAEbest=0.54) given that the constraint, Δ {\\bar{l}}ref, is satisfied. The results suggest that ANN-PSO method can be used to estimate N value with good accuracy.

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.

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

International Nuclear Information System (INIS)

Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa

2014-01-01

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

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

Science.gov (United States)

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

2017-05-01

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

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)

Portuguese knights-errant in nineteenth-century Paris and Rio: translation as response to exile in global cities

Directory of Open Access Journals (Sweden)

Rita Bueno Maia

2017-01-01

Full Text Available http://dx.doi.org/10.5007/2175-7968.2017v37n1p159 This article aims to uncover the role played by a series of picaresque novels translated into Portuguese and published in midnineteenth-century Paris in helping the Portuguese diaspora cope with the challenges of being a migrant in a global city. Through a contextual analysis, it will be argued that these novels were part of vaster cultural projects aimed at establishing solidarity networks among Portuguese exiles in Paris and, at the same time, at preserving multilingualism. By means of a textual analysis of Dom Severino Magriço ou o Dom Quichote portuguez (Paris, Pillet Fils Aîné, 1851, it will be suggested that this particular target text is committed to helping Portuguese migrants in Paris and in Rio de Janeiro. Furthermore, this novel illustrates ways of engaging with multiple Others, mainly through the reading and comparing of national literary canons.

Enamik Mõtteloo Sihtkapitali rahast kasvab USA aktsiates / Mart Trummal ; interv. Anne Oja

Index Scriptorium Estoniae

Trummal, Mart

2006-01-01

Intervjuu Eesti Mõtteloo Sihtkapitali juhi Mart Trummaliga. Tabel: Mõtteloo Sihtkapitali vara on USA-s noteeritud indeksifondides; Investeeringud Eesti aktsiatesse. Diagramm: Finantsinvesteeringute maht. Vt. samas: Anne Oja. Dividendisaajate esirinnas. Kommenteerib Annika Matson

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

Science.gov (United States)

Sau, Arkaprabha; Bhakta, Ishita

2017-05-01

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

DJ Goa Gil: Kalifornian Exile, Dark Yogi and Dreaded Anomaly

Directory of Open Access Journals (Sweden)

Graham St John

2011-06-01

Full Text Available Connecting three generations of music enthusiasts, Goa Gil is an imposing figure in the world of psychedelic trance. If the title of his 2007 compilation registers intent, he is a Worldbridger. Bristling with motifs of world sacred sites and appropriated "tribal" icons, with Gil seated cross-legged upon the apex of a Mayan temple, the album's cover artwork confabulates the physical, spiritual and cultural worlds he professes to bridge. Leading world-wide "trance dance rituals" Goa Gil operates under the guise of a "techno-shaman", a "cyber-baba" and a selector/mixer of traditions whose rituals are reputedly timeless and universal. But this intent is performed amid a highly mobile lifestyle spread across diverse psychedelic music cultures, scenes and sensibilities in discrete times and places. From the 1960s Haight-Ashbury psychedelic rock scene, to the psychedelic jam band scene on Anjuna beach, Goa, India, in the 1970s, to the adoption of electronic music in a DJ-led scene in the 1980s, to the birth of "Goa trance" in the 1990s, to his selection, production and performance of dark psychedelic trance in the 1990s/2000s onwards, DJ Goa Gil's life spans a breathtaking panorama of this-worldly psychedelic scenes. Gil is a freak bricoleur, an anomalous figure who evades modest circumscription. A Californian exile and sanctioned Shaivite practitioner with a professional hankering for darkpsy (as a DJ-producer, a hippie broker of the "Cosmic Spirit" and a post-apocalyptic punk, he is a spiritual authority and cultural outlaw touring the planet with an improbable mix of semiotic and sonic baggage. What's more, celebrated as a champion of the "Goa vibe" or derogated as an accomplice to its demise, Gil is a controversial figure who is the embodiment of considerable ambivalence. This article explores this holiest of anomalies in the world of DJing.

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

International Nuclear Information System (INIS)

Bansal, R.C.

2008-01-01

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 (n q ) 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 n q . 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

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

Energy Technology Data Exchange (ETDEWEB)

Bansal, R.C. [Electrical and Electronics Engineering Division, School of Engineering and Physics, The University of the South Pacific, Suva (Fiji)

2008-02-15

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 (n{sub q}) 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 n{sub q}. 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. (author)

Application of ann-based decision making pattern recognition to fishing operations

Energy Technology Data Exchange (ETDEWEB)

Akhlaghinia, M.; Torabi, F.; Wilton, R.R. [University of Regina, Saskatchewan (Canada). Faculty of Engineering. Dept. of Petroleum Engineering], e-mail: Farshid.Torabi@uregina.ca

2010-10-15

Decision making is a crucial part of fishing operations. Proper decisions should be made to prevent wasted time and associated costs on unsuccessful operations. This paper presents a novel model to help drilling managers decide when to commence and when to quit a fishing operation. A decision making model based on Artificial Neural Network (ANN) has been developed that utilizes Pattern Recognition based on 181 fishing incidents from one of the most fish-prone fields of the southwest of Iran. All parameters chosen to train the ANN-Based Pattern Recognition Tool are assumed to play a role in the success of the fishing operation and are therefore used to decide whether a fishing operation should be performed or not. If the tool deems the operation suitable for consideration, a cost analysis of the fishing operation can then be performed to justify its overall cost. (author)

Sexuality and gender in contemporary women's Gothic fiction - Angela Carter's and Anne Rice's Vampires: Angela Carter's and Anne Rice's Vampires

OpenAIRE

Fernanda Sousa Carvalho

2009-01-01

xxx In this thesis, I provide an analysis of Angela Carter's and Anne Rice's works based on their depiction of vampires. My corpus is composed by Carter's short stories 'The Loves of Lady Purple' and 'The Lady of the House of Love' and by Rice's novels The Vampire Lestat and The Queen of the Damned. My analysis of this corpus is based on four approaches: a comparison between Carter's and Rice's works, supported by their common use of vampire characters; an investigation of how this use con...

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)

Prediction of Ryznar Stability Index for Treated Water of WTPs Located on Al-Karakh Side of Baghdad City using Artificial Neural Network (ANN Technique

Directory of Open Access Journals (Sweden)

Awatif Soaded Alsaqqar

2016-06-01

Full Text Available In this research an Artificial Neural Network (ANN technique was applied for the prediction of Ryznar Index (RI of the flowing water from WTPs in Al-Karakh side (left side in Baghdad city for year 2013. Three models (ANN1, ANN2 and ANN3 have been developed and tested using data from Baghdad Mayoralty (Amanat Baghdad including drinking water quality for the period 2004 to 2013. The results indicate that it is quite possible to use an artificial neural networks in predicting the stability index (RI with a good degree of accuracy. Where ANN 2 model could be used to predict RI for the effluents from Al-Karakh, Al-Qadisiya and Al-Karama WTPs as the highest correlation coefficient were obtained 92.4, 82.9 and 79.1% respectively. For Al-Dora WTP, ANN 3 model could be used as R was 92.8%.

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

International Nuclear Information System (INIS)

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

2007-01-01

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

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...

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

Directory of Open Access Journals (Sweden)

Anne Brennan Malec

2015-12-01

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

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"

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

Science.gov (United States)

Patel, Raj Kumar; Giri, V. K.

2017-06-01

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

De l’exilé héroïque à l’illégitimité du retornado. Les retours des familles de réfugiés chiliens en France

Directory of Open Access Journals (Sweden)

Jedlicki, Fanny

2007-06-01

Full Text Available L’exil et le retour chilien sont des processus migratoires familiaux douloureux. Les places occupées par les réfugiés dans la société française et par les retornados dans la société chilienne révèlent des éléments propres aux contextes politiques de chacune d’entre elles, l’une dans ses rapports avec les migrants, les demandeurs d’asile particulièrement, l’autre avec son passé récent. Ainsi les catégorisations identitaires des exilés en France, puis des retornados au Chili, sont fortement contrastées, positives pour les premiers, négatives pour les seconds. C’est à l’analyse des éléments sous-tendant ces catégorisations ainsi que de leurs effets sur les insertions et réinsertions des exilés et des retornados chiliens, que sera consacré cet article, présentant un certain nombre des spécificités de ces expériences migratoires.

Tanto el exilio como el retorno de chilenos han sido procesos migratorios familiares dolorosos. La situación de los chilenos, como refugiados en la sociedad francesa y como retornados en la sociedad chilena, revela elementos característicos de los contextos políticos de esas dos sociedades: en el primer caso, su relación con los inmigrantes, especialmente los refugiados, y en el segundo su vínculo con su pasado reciente. Por tanto, las categorizaciones identitarias de este colectivo, cuando estaban en Francia y luego como retornados a Chile, se muestran en franca contradicción, positivas las primeras, negativas las segundas. Este artículo analiza los elementos subyacentes en estas categorizaciones, así como sus efectos sobre la integración y re-integración de los chilenos como exiliados y como retornados. Se presentan, además, algunos ejemplos característicos de esas experiencias migratorias.

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

Directory of Open Access Journals (Sweden)

Mohd. Saqib

2016-09-01

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

WEPP and ANN models for simulating soil loss and runoff in a semi-arid Mediterranean region.

Science.gov (United States)

Albaradeyia, Issa; Hani, Azzedine; Shahrour, Isam

2011-09-01

This paper presents the use of both the Water Erosion Prediction Project (WEPP) and the artificial neural network (ANN) for the prediction of runoff and soil loss in the central highland mountainous of the Palestinian territories. Analyses show that the soil erosion is highly dependent on both the rainfall depth and the rainfall event duration rather than on the rainfall intensity as mostly mentioned in the literature. The results obtained from the WEPP model for the soil loss and runoff disagree with the field data. The WEPP underestimates both the runoff and soil loss. Analyses conducted with the ANN agree well with the observation. In addition, the global network models developed using the data of all the land use type show a relatively unbiased estimation for both runoff and soil loss. The study showed that the ANN model could be used as a management tool for predicting runoff and soil loss.

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.

Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery

Directory of Open Access Journals (Sweden)

Jiaming Liu

2015-11-01

Full Text Available Measuring total nitrogen (TN and total phosphorus (TP is important in managing heavy polluted urban waters in China. This study uses high spatial resolution IKONOS imagery with four multispectral bands, which roughly correspond to Landsat/TM bands 1–4, to determine TN and TP in small urban rivers and lakes in China. By using Lake Cihu and the lower reaches of Wen-Rui Tang (WRT River as examples, this paper develops both multiple linear regressions (MLR and artificial neural network (ANN models to estimate TN and TP concentrations from high spatial resolution remote sensing imagery and in situ water samples collected concurrently with overpassing satellite. The measured and estimated values of both MLR and ANN models are in good agreement (R2 > 0.85 and RMSE < 2.50. The empirical equations selected by MLR are more straightforward, whereas the estimated accuracy using ANN model is better (R2 > 0.86 and RMSE < 0.89. Results validate the potential of using high resolution IKONOS multispectral imagery to study the chemical states of small-sized urban water bodies. The spatial distribution maps of TN and TP concentrations generated by the ANN model can inform the decision makers of variations in water quality in Lake Cihu and lower reaches of WRT River. The approaches and equations developed in this study could be applied to other urban water bodies for water quality monitoring.

Entre l’exil et l’asile : l’inter-dit silencieux dans Le Pavillon des miroirs de Sergio Kokis

Directory of Open Access Journals (Sweden)

Steven Urquhart

2010-05-01

Full Text Available Lorsqu’on parle du premier roman de Sergio Kokis, Le Pavillon des miroirs, on souligne à juste titre le caractère autobiographique du roman manifeste par le va-et-vient narratif entre le présent du narrateur/peintre au Québec et le souvenir de sa jeunesse au Brésil ainsi que les enjeux de son exil et la nature vive et grotesque des images qui hantent son imagination. Francine Bordeleau résume ce dernier aspect en disant que « les images sont puissantes, l’écriture brûlante, et certains passages, paroxystiques atteignent une sorte de fureur. Kokis n’est pas un tiède » (10. Cependant, on constate également au cours d’une analyse détaillée du roman l’importance de la question du silence et la place considérable qu’il occupe dans la pensée du narrateur.

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…

Kriminalinė pasaka: žanrų suliejimas istorijos atpirkimui Jayne Anne Phillips romane „Quiet Dell“

OpenAIRE

Milvidaitė, Salomėja

2016-01-01

Fairy Tale True Crime: Genre Bending for the Redemption of History in Jayne Anne Phillips' “Quiet Dell” Jayne Anne Phillips’ novel Quiet Dell (2013) depicts a true story concerning the infamous murders in the eponymous hamlet near Phillips’ hometown in West Virginia. The true crime story, however, is given a twist when the first ghostly appearance takes place. The purpose of the present BA paper is to analyse how, by employing various fantastic elements, the genres of true crime and fairy tal...

"I am the vampire for these times": Representations of Postmodernity in Anne Rice's The Vampire Chronicles

OpenAIRE

RINNE, ANTTI

2013-01-01

Anne Ricen The Vampire Chronicles -kirjasarjaa voidaan pitää vampyyrinarratiivien uutena aaltona 1970-luvulta lähtien. Ricen romaaneissa vampyyrit itse nousivat pääosaan kirjojen päähenkilöinä, ja romaanit tietyssä määrin irtautuivat vanhemman vampyyrikirjallisuuden kaavoista. Tutkimukseni aiheena ovat Anne Ricen romaanisarjan kolme ensimmäistä teosta, Interview with the Vampire (1976), The Vampire Lestat (1985) ja The Queen of the Damned (1988). Tutkielmani keskittyy siihen, kuinka kyseiset ...

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

Science.gov (United States)

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

2017-12-01

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

Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices

International Nuclear Information System (INIS)

Taghavifar, Hamid; Mardani, Aref

2014-01-01

This paper examines the prediction of energy efficiency indices of driven wheels (i.e. traction coefficient and tractive power efficiency) as affected by wheel load, slippage and forward velocity at three different levels with three replicates to form a total of 162 data points. The pertinent experiments were carried out in the soil bin testing facility. A feed-forward ANN (artificial neural network) with standard BP (back propagation) algorithm was practiced to construct a supervised representation to predict the energy efficiency indices of driven wheels. It was deduced, in view of the statistical performance criteria (i.e. MSE (mean squared error) and R 2 ), that a supervised ANN with 3-8-10-2 topology and Levenberg–Marquardt training algorithm represented the optimal model. Modeling implementations indicated that ANN is a powerful technique to prognosticate the stochastic energy efficiency indices as affected by soil-wheel interactions with MSE of 0.001194 and R 2 of 0.987 and 0.9772 for traction coefficient and tractive power efficiency. It was found that traction coefficient and tractive power efficiency increase with increased slippage. A similar trend is valid for the influence of wheel load on the objective parameters. Wherein increase of velocity led to an increment of tractive power efficiency, velocity had no significant effect on traction coefficient. - Highlights: • Energy efficiency indexes were assessed as affected by tire parameters. • ANN was applied for prognostication of the objective parameters. • A 3-8-10-2 ANN with MSE of 0.001194 and R 2 of 0.987 and 0.9772 was designated as optimal model. • Optimal values of learning rate and momentum were found 0.9 and 0.5, respectively

Jo Ann Baumgartner and Sam Earnshaw: Organizers and Farmers

OpenAIRE

Rabkin, Sarah

2010-01-01

Jo Ann Baumgartner directs the Wild Farm Alliance, based in Watsonville, California. WFA’s mission, as described on the organization’s website, is “to promote agriculture that helps to protect and restore wild Nature.” Through research, publications, presentations, events, policy work, and consulting, the organization works to “connect food systems with ecosystems.” Sam Earnshaw is Central Coast regional coordinator of the Community Alliance with Family Farmers. Working with CAFF’s f...

Exploring QSARs of the interaction of flavonoids with GABA (A) receptor using MLR, ANN and SVM techniques.

Science.gov (United States)

Deeb, Omar; Shaik, Basheerulla; Agrawal, Vijay K

2014-10-01

Quantitative Structure-Activity Relationship (QSAR) models for binding affinity constants (log Ki) of 78 flavonoid ligands towards the benzodiazepine site of GABA (A) receptor complex were calculated using the machine learning methods: artificial neural network (ANN) and support vector machine (SVM) techniques. The models obtained were compared with those obtained using multiple linear regression (MLR) analysis. The descriptor selection and model building were performed with 10-fold cross-validation using the training data set. The SVM and MLR coefficient of determination values are 0.944 and 0.879, respectively, for the training set and are higher than those of ANN models. Though the SVM model shows improvement of training set fitting, the ANN model was superior to SVM and MLR in predicting the test set. Randomization test is employed to check the suitability of the models.

Germanium-gated γ–γ fast timing of excited states in fission fragments using the EXILL and FATIMA spectrometer

Energy Technology Data Exchange (ETDEWEB)

Régis, J.-M., E-mail: regis@ikp.uni-koeln.de [Institut für Kernphysik der Universität zu Köln, Zülpicher Str. 77, 50937 Köln (Germany); Simpson, G.S., E-mail: Gary.Simpson@uws.ac.uk [Laboratoire de Physique Subatomique et de Cosmologie Grenoble, 53, rue des Martyrs, 38026 Grenoble Cedex (France); School of Engineering, University of the West of Scotland, Paisley PA1 2BE, Scotland (United Kingdom); Blanc, A. [Institut Laue-Langevin, CS 20156, 38042 Grenoble Cedex 9 (France); France, G. de [Grand Accélérateur National d' Ions Lourds, Bd Henri Becquerel, BP 55027, 14076 Caen Cedex 05 (France); Jentschel, M.; Köster, U.; Mutti, P. [Institut Laue-Langevin, CS 20156, 38042 Grenoble Cedex 9 (France); Paziy, V. [Grupo de Física Nuclear, FAMN, Universidad Complutense, CEI Moncloa, 28040 Madrid (Spain); Saed-Samii, N. [Institut für Kernphysik der Universität zu Köln, Zülpicher Str. 77, 50937 Köln (Germany); Soldner, T. [Institut Laue-Langevin, CS 20156, 38042 Grenoble Cedex 9 (France); Ur, C.A. [Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Via Marzolo 8, 35131 Padova (Italy); Urban, W. [Institut Laue-Langevin, CS 20156, 38042 Grenoble Cedex 9 (France); Faculty of Physics, University of Warsaw, ul. Hoza 69, PL-00-681 Warsaw (Poland); Bruce, A.M. [School of Computing, Engineering and Mathematics, University of Brighton, Lewes Road, Brighton BN2 4GJ (United Kingdom); Drouet, F. [Laboratoire de Physique Subatomique et de Cosmologie Grenoble, 53, rue des Martyrs, 38026 Grenoble Cedex (France); and others

2014-11-01

A high-granularity mixed spectrometer consisting of high-resolution Ge and very fast LaBr{sub 3}(Ce)-scintillator detectors has been installed around a fission target at the cold-neutron guide PF1B of the high-flux reactor of the Institut Laue–Langevin. Lifetimes of excited states in the range of 10 ps to 10 ns can be measured in around 100 exotic neutron-rich fission fragments using Ge-gated LaBr{sub 3}(Ce)–LaBr{sub 3}(Ce) or Ge–Ge–LaBr{sub 3}(Ce)–LaBr{sub 3}(Ce) coincidences. We report on various characteristics of the EXILL and FATIMA spectrometer for the energy range of 40 keV up to 6.8 MeV and present results of ps-lifetime test measurements in a fission fragment. The results are discussed with respect to possible systematic errors induced by background contributions.

From the Other Shore: Alice Rühle-Gerstel and Otto Rühle. The Experience of Left-Wing Political Exile in Mexico, 1935-1943

Directory of Open Access Journals (Sweden)

Lizette Jacinto

2014-07-01

Full Text Available This work seeks to critically analyze the intellectual conditions that the Rühle couple faced during their 1935-1943 political exile in Mexico, after fleeing German National Socialism. Both of them were renowned thinkers both in the academic and political fields, and both before and after World War I, specially during the so-called Weimar Republic. The paper highlights the personality of Alice Rühel-Gerstel, born in Prague to a Jewish family, for she would become a feminist and writer renowned in her time, but forgotten after Nazi censorship. This subject, as yet unpublished in Mexico, feeds on deep archive research carried out in Germany, the Netherlands, and Mexico.

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

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

Science.gov (United States)

Zhao, Yudi; Wei, Ruyi; Liu, Xuebin

2017-10-01

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

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

International Nuclear Information System (INIS)

Voyant, Cyril; Muselli, Marc; 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 (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.

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

International Nuclear Information System (INIS)

Torres-Ramírez, M.; Elizondo, D.; García-Domingo, B.; Nofuentes, G.; Talavera, D.L.

2015-01-01

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 (G T ) and irradiation (H T ) 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 G T and APE, respectively. Regarding H T , 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

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)

Hu Qinhua; So, Albert T P; Tse, W L; Ren, Qingchang

2005-01-01

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

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 ...

The Sally-Anne Test: An Interactional Analysis of a Dyadic Assessment

Science.gov (United States)

Korkiakangas, Terhi; Dindar, Katja; Laitila, Aarno; Kärnä, Eija

2016-01-01

Background: The Sally-Anne test has been extensively used to examine children's theory of mind understanding. Many task-related factors have been suggested to impact children's performance on this test. Yet little is known about the interactional aspects of such dyadic assessment situations that might contribute to the ways in which children…

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...

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

Science.gov (United States)

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

2018-01-05

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

78 FR 65380 - Notice of Inventory Completion: University of Michigan, Ann Arbor, MI

Science.gov (United States)

2013-10-31

... the University of Michigan, Ann Arbor, MI. The human remains were removed from Alpena, Isabella, Grand... removed from the Devil River Mound site (20AL1) in Alpena County, MI. A resident of Ossineke, MI...

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

Science.gov (United States)

Fazli Shahri, Hamid Reza; Mahdavinejad, Ramezanali

2018-02-01

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

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

NARCIS (Netherlands)

Elings, A.

2012-01-01

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

Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles.

Science.gov (United States)

Bisgin, Halil; Bera, Tanmay; Ding, Hongjian; Semey, Howard G; Wu, Leihong; Liu, Zhichao; Barnes, Amy E; Langley, Darryl A; Pava-Ripoll, Monica; Vyas, Himansu J; Tong, Weida; Xu, Joshua

2018-04-25

Insect pests, such as pantry beetles, are often associated with food contaminations and public health risks. Machine learning has the potential to provide a more accurate and efficient solution in detecting their presence in food products, which is currently done manually. In our previous research, we demonstrated such feasibility where Artificial Neural Network (ANN) based pattern recognition techniques could be implemented for species identification in the context of food safety. In this study, we present a Support Vector Machine (SVM) model which improved the average accuracy up to 85%. Contrary to this, the ANN method yielded ~80% accuracy after extensive parameter optimization. Both methods showed excellent genus level identification, but SVM showed slightly better accuracy  for most species. Highly accurate species level identification remains a challenge, especially in distinguishing between species from the same genus which may require improvements in both imaging and machine learning techniques. In summary, our work does illustrate a new SVM based technique and provides a good comparison with the ANN model in our context. We believe such insights will pave better way forward for the application of machine learning towards species identification and food safety.

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

Science.gov (United States)

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

2018-02-01

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

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

Indian Academy of Sciences (India)

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

ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs

Directory of Open Access Journals (Sweden)

Adel Taha Abbas

2018-05-01

Full Text Available Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth–Pareto optimization of an artificial neural network (ANN is presented in this paper for surface roughness (Ra prediction of one component in computer numerical control (CNC turning over minimal machining time (Tm and at prime machining costs (C. An ANN is built in the Matlab programming environment, based on a 4-12-3 multi-layer perceptron (MLP, to predict Ra, Tm, and C, in relation to cutting speed, vc, depth of cut, ap, and feed per revolution, fr. For the first time, a profile of an AZ61 alloy workpiece after finish turning is constructed using an ANN for the range of experimental values vc, ap, and fr. The global minimum length of a three-dimensional estimation vector was defined with the following coordinates: Ra = 0.087 μm, Tm = 0.358 min/cm3, C = $8.2973. Likewise, the corresponding finish-turning parameters were also estimated: cutting speed vc = 250 m/min, cutting depth ap = 1.0 mm, and feed per revolution fr = 0.08 mm/rev. The ANN model achieved a reliable prediction accuracy of ±1.35% for surface roughness.

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

International Nuclear Information System (INIS)

Ortiz R, J.M.; Martinez B, M.R.; Vega C, H.R.

2007-01-01

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)

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)

Comparative study of landslides susceptibility mapping methods: Multi-Criteria Decision Making (MCDM) and Artificial Neural Network (ANN)

Science.gov (United States)

Salleh, S. A.; Rahman, A. S. A. Abd; Othman, A. N.; Mohd, W. M. N. Wan

2018-02-01

As different approach produces different results, it is crucial to determine the methods that are accurate in order to perform analysis towards the event. This research aim is to compare the Rank Reciprocal (MCDM) and Artificial Neural Network (ANN) analysis techniques in determining susceptible zones of landslide hazard. The study is based on data obtained from various sources such as local authority; Dewan Bandaraya Kuala Lumpur (DBKL), Jabatan Kerja Raya (JKR) and other agencies. The data were analysed and processed using Arc GIS. The results were compared by quantifying the risk ranking and area differential. It was also compared with the zonation map classified by DBKL. The results suggested that ANN method gives better accuracy compared to MCDM with 18.18% higher accuracy assessment of the MCDM approach. This indicated that ANN provides more reliable results and it is probably due to its ability to learn from the environment thus portraying realistic and accurate result.

Les crises soudanaises des années 80

OpenAIRE

Ahmed, Medani M.; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; al-Shazali, Salah al-Din; Al-Tom, Abdulahi Osman; Babiker, Mustafa; Babiker, Mustafa; Blin, Louis; Conte, Édouard; Elmekki, Abdelgalil M.; Gore, Paul W.; Hamid, Mohammed Beshir; Ireton, François; Jacquemond, Richard

2008-01-01

Ce dossier est constitué, dans sa quasi-totalité, de contributions de chercheurs et universitaires soudanais proposant une analyse de certains des problèmes cruciaux que leur pays a connus depuis le début des années 80. Les articles qui le composent correspondent aux communications qui devaient initialement être présentées lors d’un colloque portant sur le même thème, prévu à Paris pour décembre 1991 et qui n'a pu avoir lieu du fait de l’impossibilité où se trouvaient certains de ses particip...

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

Directory of Open Access Journals (Sweden)

Miloš Madić

2015-01-01

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

A vitamini ve anne çocuk sağlığı Derleme

OpenAIRE

Günlemez, Ayla; Atasay, Begüm; Arsan, Saadet

2014-01-01

A vitamini normal görmede hücre farklılaşmasında çoğalmasında ve epitelial bütünlüğün sağlanmasında kritik rol oynar Gelişmekte olan ülkelerde A vitamini eksikliği önemli ve önlenebilir halk sağlığı sorunlarından biridir Bu makalede dünyada ve Türkiye’de A vitamini eksikliği ve anne çocuk sağlığı üzerine etkileri tartışılmaktadır Anahtar Kelimeler: A vitamini anne sağlığı çocuk sağlığıSummaryVitamin A has a critical role in normal vision cell differantiation proliferation and maintanence of e...

Le Roman d’Enéas: un cas de déclinaison de l’étranger sur la trajectoire de l’exil

Directory of Open Access Journals (Sweden)

Catherine Desprès Caubrière

2013-11-01

Full Text Available In the Roman d'Enéas the protagonist, after his Virgilian model, follows his mythical non-return path to exile, his journey being assumed as the beginning of the adventure as well as a sine qua non condition for the foundation. The repeated ordeals faced by the hero at each stage of his travel towards a new terra incognita provoke anguish, which constitutes the basis of his initiation while his charisma grows. The textual point of view on Enéas's existential experience from the perspective of the inclusion/exclusion ambivalence confirms his status as a forreigner, and means real conflict both social and psychological, but foremost represents a major theme contributing to the building of the fiction character and to the emerging definition of a new genre.

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.

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)

Kumar Rohit Raj; Abhishek Kardam; Shalini Srivastava; Jyoti Kumar Arora

2010-01-01

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)

Calles vs. Calles: the “Jefe Máximo” supporting the Republic; the Exile supporting Franco. Contradictions of the Mexican Revolutionary Elite

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Lorenzo Meyer

2009-01-01

Full Text Available Flexibility, or rather ideological contradictions are among the characteristics of the Mexican Revolution. Historical perspective could lead to the conclusion that the absence of orthodoxy was not necessarily negative in relation to the regime that arose from the revolution. General Plutarco Elías Calles illustrates this trend. As the Revolution's “Jefe Máximo” [commander in chief] he supported the Spanish Republic openly and enthusiastically; the purchase of vessels from Spanish shipbuilders affected by the Great Depression proves this point. However, in stark contradiction to his earlier position, once in exile General Calles participated in a conspiracy seeking financial aid from the Government that overthrew the Spanish Republic. In 1940 he tried to organize  a movement against President Lázaro Cárdenas' regime in order to put an end to his reform programme.

Ann Modeling for Grey Particles Produced from Interactions of Different Projectiles with Emulsion Nuclei at 4.5 AGEV/C

International Nuclear Information System (INIS)

El-Bakry, M.N.Y.; Basha, A.M.; Rashed, N.; Mahmoud, M.A.; Radi, A.

2008-01-01

Artificial Neural Network (ANN) is one of the important tools in high energy physics. In this paper, we are using ANN for modeling the multiplicity distributions of grey particles produced from interactions of P, 3 He, 4 He, 6 Li, 12 C, 24 Mg, and 32 S with emulsion nuclei, light nuclei (CNO), and heavy nuclei (Ag Br). The equations of these distributions were obtained

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

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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.

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

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

Digital Repository Service at National Institute of Oceanography (India)

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

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

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.

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)

Muyeen, S.M.; Hasanien, Hany M.; Al-Durra, Ahmed

2014-01-01

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

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

Science.gov (United States)

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

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

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

Rapport de frais de 2017-2018 pour Mary Anne Chambers. Total des frais de déplacement : CAD$17,362.55. Réunion du Conseil des gouverneurs. 19 novembre 2017 au 24 novembre 2017. CAD$2,185.41. Réunions au CRDI 1 novembre 2017 CAD$714.15. Constatation de l'impact de la recherche en Afrique de l'Est.

Anne Applebaum: Kas NATO lõpp on lähedal? / Indrek Veiserik

Index Scriptorium Estoniae

Veiserik, Indrek

2009-01-01

USA ajakirjaniku Anne Applebaumi kriitikast NATO kui organisatsiooni toimimise ja Afganistani missiooni suhtes. Kesknädala arvates võiks president Toomas Hendrik Ilves, kes on annetanud A. Applebaumile Maarjamaa Risti III klassi teenetemärgi, kuulata tema välispoliitilisi seisukohti. Viidatakse ka Kanada kindrali Rick Hillieri kriitikale NATO kohta

Exilés et réfugiés: l'évolution de la notion de réfugié au XXe siècle

Directory of Open Access Journals (Sweden)

Bruno Groppo

2008-12-01

Full Text Available Este texto tiene como objetivo proporcionar, a partir de un análisis histórico, algunos puntos de referencia en torno a categorías problemáticas como “exiliados”, “refugiados”, “emigrantes/inmigrantes” y de su utilización. Trata de mostrar como ha evolucionado la noción de refugiado en el siglo XX, y propone igualmente elementos de reflexión sobre las especificidades de las migraciones políticas y sus relaciones con las migraciones “económicas”. Se apoya principalmente en la experiencia francesa porque Francia ha sido, a lo largo de los siglos XIX y XX, un país de inmigración, un país de asilo para numerosos refugiados políticos, e incluso, en menor medida, un país “productor” de exiliados. Resta verificar en que medida las consideraciones presentes se pueden aplicar en otras situaciones nacionales._____________________ABSTRACT:The purpose of this text is to provide, starting from a historical analysis, some bench marks in connection with problematic categories like "exiled", "refugee", "emigrated/immigrants", and of their use. It intends to show how the concept of "refugee" at the XXth century evolved, and also proposes elements of reflection on the specificity of the political emigrations and their relationship with the "economic" migrations. It is based mainly on the French experiment because France was, during XIXth and XXth centuries, at the same time, an immigration country, a host country for many political refugees, but also, to a lesser extent, a "producing" country of exiled. It remains to check the considerations presented up to what point below can apply to other national situations.

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

International Nuclear Information System (INIS)

Sharma, Pavan K.; Gera, B.; Ghosh, A.K.; Kushwaha, H.S.

2010-01-01

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)

Optimization of thermal conductivity lightweight brick type AAC (Autoclaved Aerated Concrete) effect of Si & Ca composition by using Artificial Neural Network (ANN)

Science.gov (United States)

Zulkifli; Wiryawan, G. P.

2018-03-01

Lightweight brick is the most important component of building construction, therefore it is necessary to have lightweight thermal, mechanical and aqustic thermal properties that meet the standard, in this paper which is discussed is the domain of light brick thermal conductivity properties. The advantage of lightweight brick has a low density (500-650 kg/m3), more economical, can reduce the load 30-40% compared to conventional brick (clay brick). In this research, Artificial Neural Network (ANN) is used to predict the thermal conductivity of lightweight brick type Autoclaved Aerated Concrete (AAC). Based on the training and evaluation that have been done on 10 model of ANN with number of hidden node 1 to 10, obtained that ANN with 3 hidden node have the best performance. It is known from the mean value of MSE (Mean Square Error) validation for three training times of 0.003269. This ANN was further used to predict the thermal conductivity of four light brick samples. The predicted results for each of the AAC1, AAC2, AAC3 and AAC4 light brick samples were 0.243 W/m.K, respectively; 0.29 W/m.K; 0.32 W/m.K; and 0.32 W/m.K. Furthermore, ANN is used to determine the effect of silicon composition (Si), Calcium (Ca), to light brick thermal conductivity. ANN simulation results show that the thermal conductivity increases with increasing Si composition. Si content is allowed maximum of 26.57%, while the Ca content in the range 20.32% - 30.35%.

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

Energy Technology Data Exchange (ETDEWEB)

Parthiban, Thirumalai; Ravi, R.; Kalaiselvi, N. [Central Electrochemical Research Institute (CECRI), Karaikudi 630006 (India)

2007-12-31

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. (author)

La presa di parola di Anne Hutchinson. Insubordinazione e conflitto nella giovane America puritana

Directory of Open Access Journals (Sweden)

Itala Vivan

2016-04-01

Full Text Available Anne Hutchinson lasciò l’Inghilterra nel 1634 per emigrare nel Massachusetts puritano, dove nel 1637 e 1638 fu processata, condannata, scomunicata ed espulsa come donna insubordinata, deviante e pericolosa. Il suo ruolo intellettuale e politico nell’alba incandescente della prima America viene qui analizzato e discusso ascoltando da presso il racconto che promana dalla voce della stessa Anne Hutchinson attraverso i verbali dei due processi, trascritti dai contemporanei con la fedeltà letterale che era tipica del puritanesimo americano. La drammatica controversia che ebbe al centro la presa di parola di questa donna segnò la prima grande crisi della neonata società coloniale – la cosiddetta crisi antinomiana -- e ne determinò gli sviluppi futuri, indirizzandoli verso un sistema di potere politico su basi teocratiche.

ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs.

Science.gov (United States)

Abbas, Adel Taha; Pimenov, Danil Yurievich; Erdakov, Ivan Nikolaevich; Taha, Mohamed Adel; Soliman, Mahmoud Sayed; El Rayes, Magdy Mostafa

2018-05-16

Magnesium alloys are widely used in aerospace vehicles and modern cars, due to their rapid machinability at high cutting speeds. A novel Edgeworth⁻Pareto optimization of an artificial neural network (ANN) is presented in this paper for surface roughness ( Ra ) prediction of one component in computer numerical control (CNC) turning over minimal machining time ( T m ) and at prime machining costs ( C ). An ANN is built in the Matlab programming environment, based on a 4-12-3 multi-layer perceptron (MLP), to predict Ra , T m , and C , in relation to cutting speed, v c , depth of cut, a p , and feed per revolution, f r . For the first time, a profile of an AZ61 alloy workpiece after finish turning is constructed using an ANN for the range of experimental values v c , a p , and f r . The global minimum length of a three-dimensional estimation vector was defined with the following coordinates: Ra = 0.087 μm, T m = 0.358 min/cm³, C = $8.2973. Likewise, the corresponding finish-turning parameters were also estimated: cutting speed v c = 250 m/min, cutting depth a p = 1.0 mm, and feed per revolution f r = 0.08 mm/rev. The ANN model achieved a reliable prediction accuracy of ±1.35% for surface roughness.

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

Science.gov (United States)

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

2016-07-08

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

Vers une “écriture métisse”: le roman des immigrants haïtiens du Québec Writing the cultural cross-currents: the Haitian immigrants’ novel in Quebec

Directory of Open Access Journals (Sweden)

Józef Kwaterko

2010-12-01

Full Text Available mémoriel et langagier dans les romans des immigrants haïtiens au Québec.Après quelques considérations sociologiques sur l’écriture migrante(diasporique, on observera les enjeux esthétiques du métissage sur un axediachronique : les années 1970 où l’espace-temps du pays d’origine dominela représentation, les années 1980 où le travail du deuil apporte des effetsd’hybridation, et à partir du milieu des années 1980 à nos jours lorsque lesromanciers haïtiens assument l’exil et se réapproprient à distance leur paysdélaissé.The aim of this paper is to recognize the manifestations of the culturalhybridization (métissage among Haitian novelists who immigrated to Quebec. After some sociological characteristics of the migrant writing, the mainaesthetics features will be observed on diachronic level: during the 1970s,when the place of the country of origin dominate the representation, duringthe 1980s when the feeling of split identity increase the effects of hybridity,and since the middle of 1980s when the Haitian writers assume their exileby entering into an intercultural, dialogic relationship with their abandonedcountry.

ANN-based calibration model of FTIR used in transformer online monitoring

Science.gov (United States)

Li, Honglei; Liu, Xian-yong; Zhou, Fangjie; Tan, Kexiong

2005-02-01

Recently, chromatography column and gas sensor have been used in online monitoring device of dissolved gases in transformer oil. But some disadvantages still exist in these devices: consumption of carrier gas, requirement of calibration, etc. Since FTIR has high accuracy, consume no carrier gas and require no calibration, the researcher studied the application of FTIR in such monitoring device. Experiments of "Flow gas method" were designed, and spectrum of mixture composed of different gases was collected with A BOMEM MB104 FTIR Spectrometer. A key question in the application of FTIR is that: the absorbance spectrum of 3 fault key gases, including C2H4, CH4 and C2H6, are overlapped seriously at 2700~3400cm-1. Because Absorbance Law is no longer appropriate, a nonlinear calibration model based on BP ANN was setup to in the quantitative analysis. The height absorbance of C2H4, CH4 and C2H6 were adopted as quantitative feature, and all the data were normalized before training the ANN. Computing results show that the calibration model can effectively eliminate the cross disturbance to measurement.

ANN-GA based optimization of a high ash coal-fired supercritical power plant

International Nuclear Information System (INIS)

Suresh, M.V.J.J.; Reddy, K.S.; Kolar, Ajit Kumar

2011-01-01

Highlights: → Neuro-genetic power plant optimization is found to be an efficient methodology. → Advantage of neuro-genetic algorithm is the possibility of on-line optimization. → Exergy loss in combustor indicates the effect of coal composition on efficiency. -- Abstract: The efficiency of coal-fired power plant depends on various operating parameters such as main steam/reheat steam pressures and temperatures, turbine extraction pressures, and excess air ratio for a given fuel. However, simultaneous optimization of all these operating parameters to achieve the maximum plant efficiency is a challenging task. This study deals with the coupled ANN and GA based (neuro-genetic) optimization of a high ash coal-fired supercritical power plant in Indian climatic condition to determine the maximum possible plant efficiency. The power plant simulation data obtained from a flow-sheet program, 'Cycle-Tempo' is used to train the artificial neural network (ANN) to predict the energy input through fuel (coal). The optimum set of various operating parameters that result in the minimum energy input to the power plant is then determined by coupling the trained ANN model as a fitness function with the genetic algorithm (GA). A unit size of 800 MWe currently under development in India is considered to carry out the thermodynamic analysis based on energy and exergy. Apart from optimizing the design parameters, the developed model can also be used for on-line optimization when quick response is required. Furthermore, the effect of various coals on the thermodynamic performance of the optimized power plant is also determined.

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

DEFF Research Database (Denmark)

Konzack, Lars

2017-01-01

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

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

International Nuclear Information System (INIS)

Anvari, Simin; Taghavifar, Hadi; Saray, Rahim Khoshbakhti; Khalilarya, Shahram; Jafarmadar, Samad

2015-01-01

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 R 2 = 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 R 2 = 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

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

Directory of Open Access Journals (Sweden)

C. TURELI BILEN

2011-10-01

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

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. Copyright © 2014 Elsevier B.V. All rights reserved.

Simulation of CO2 Solubility in Polystyrene-b-Polybutadieneb-Polystyrene (SEBS) by artificial intelligence network (ANN) method

Science.gov (United States)

Sharudin, R. W.; AbdulBari Ali, S.; Zulkarnain, M.; Shukri, M. A.

2018-05-01

This study reports on the integration of Artificial Neural Network (ANNs) with experimental data in predicting the solubility of carbon dioxide (CO2) blowing agent in SEBS by generating highest possible value for Regression coefficient (R2). Basically, foaming of thermoplastic elastomer with CO2 is highly affected by the CO2 solubility. The ability of ANN in predicting interpolated data of CO2 solubility was investigated by comparing training results via different method of network training. Regards to the final prediction result for CO2 solubility by ANN, the prediction trend (output generate) was corroborated with the experimental results. The obtained result of different method of training showed the trend of output generated by Gradient Descent with Momentum & Adaptive LR (traingdx) required longer training time and required more accurate input to produce better output with final Regression Value of 0.88. However, it goes vice versa with Levenberg-Marquardt (trainlm) technique as it produced better output in quick detention time with final Regression Value of 0.91.

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

African Journals Online (AJOL)

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 ...

[The embroidery work of the lady at Saint-Anne Hospital].

Science.gov (United States)

Thillaud, Pierre L; Postel, Jacques

2014-01-01

In July 1974, a 72 old woman had been a patient for forty years in Sainte-Anne Hospital, Ward C. As she had again a violent brawl with her neighbour patient, she revealed being a tremendous artist. She had been confined on account of dementia paralytica in the Mecca of malariotherapy, and passionately devoted herself to embroidery. Her fancy work was rather a matter for Jean Dubuffet's art through its perfect expression and deserved being known.

Exiliados judíos del Tercer Reich en el cine español: 1933-1936 / Jews in Exile from the 3rd Reich in the Spanish Cinema: 1933-1936

Directory of Open Access Journals (Sweden)

Fernando González García

2016-08-01

Full Text Available Este artículo pretende dar cuenta por extenso de la participación de judíos exiliados del Tercer Reich en el cine español entre 1933 y 1936, años en los que florece la industria cinematográfica española tras la crisis del sonoro. Se analizan aquí las estrategias de las empresas que estos exiliados forman o gestionan, y el papel de los técnicos y artistas en el conjunto de la cinematografía española, ofreciendo un listado pormenorizado de nombres y actividades, y su destino tras el inicio de la Guerra Civil en España.Palabras clave: capitales, empresarios, gestores, técnicos, artistas, productoras, películas, Tercer Reich, cine español, años treinta.AbstractThe aim of this paper is to fully inform the participation in the Spanish cinema between 1933and 1936 of Jews in exile from the Third Reich. It is in these years that the Spanish film industry flourishes after the ‘Sound Crisis’. Not only the strategies of the production companies that these exiled Jews created or managed will be analysed, but also the role of technicians and artists that participated in every aspect of the Spanish cinematography. Additionally, a detailed list of names and activities will be provided, with indication of their destiny after the beginning of the Spanish Civil War.Keywords: capital, businessmen, managers, technicians, artists, production companies, movies, Third Reich, Spanish cinema, Thirties.

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

Index Scriptorium Estoniae

Komissarov, Kalju, 1946-2017

2010-01-01

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

Relationship between chest compression depth and novice rescuer body weight during cardiopulmonary resuscitation.

Science.gov (United States)

Oh, Je Hyeok; Kim, Chan Woong

2016-12-01

This study determined if rescuer body weight is a major determinant of chest compression depth (CCD) among novice rescuers by analyzing the results of cardiopulmonary resuscitation (CPR) skill tests among medical students and determined the body weight threshold for those unable to achieve adequate CCD. Retrospective analysis of CPR test results was performed. A total of 107 medical students completed the tests, which included 5 cycles of CPR. Data were collected using a ResusciAnne SkillReporter. Anthropometric data including participant body weight, body mass index, and height were also collected. The relationships between CCD and anthropometric data were evaluated by Pearson correlation coefficient. In addition, univariate linear regression analysis was used to assess the association between body weight and CCD. The highest positive correlation was found between CCD and body weight (r = 0.636, P compression should preferentially be performed by rescuers of healthy weight or overweight. Copyright © 2016 Elsevier Inc. All rights reserved.

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

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

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

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

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

Science.gov (United States)

2013-10-31

....S.C. 3003, of the completion of an inventory of human remains under the control of the University of....R50000] Notice of Inventory Completion: University of Michigan, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan has completed an inventory of human...

Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction

International Nuclear Information System (INIS)

Mousapour, Ashkan; Hajipour, Alireza; Rashidi, Mohammad Mehdi; Freidoonimehr, Navid

2016-01-01

In this paper, the first and second-laws efficiencies are applied to performance analysis of an irreversible Miller cycle. In the irreversible cycle, the linear relation between the specific heat of the working fluid and its temperature, the internal irreversibility described using the compression and expansion efficiencies, the friction loss computed according to the mean velocity of the piston and the heat-transfer loss are considered. The effects of various design parameters, such as the minimum and maximum temperatures of the working fluid and the compression ratio on the power output and the first and second-laws efficiencies of the cycle are discussed. In the following, a procedure named ANN is used for predicting the thermal efficiency values versus the compression ratio, and the minimum and maximum temperatures of the Miller cycle. Nowadays, Miller cycle is widely used in the automotive industry and the obtained results of this study will provide some significant theoretical grounds for the design optimization of the Miller cycle. - Highlights: • The performance of an irreversible Miller cycle is investigated using FFT. • The effects of design parameters on the performance of the cycle are investigated. • ANN is applied to predict the thermal efficiency and the power output values. • There is an excellent correlation between FTT and ANN data. • ANN can be applied to predict data where FTT analysis has not been performed.

Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN).

Science.gov (United States)

Titah, Harmin Sulistiyaning; Halmi, Mohd Izuan Effendi Bin; Abdullah, Siti Rozaimah Sheikh; Hasan, Hassimi Abu; Idris, Mushrifah; Anuar, Nurina

2018-06-07

In this study, the removal of arsenic (As) by plant, Ludwigia octovalvis, in a pilot reed bed was optimized. A Box-Behnken design was employed including a comparative analysis of both Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) for the prediction of maximum arsenic removal. The predicted optimum condition using the desirability function of both models was 39 mg kg -1 for the arsenic concentration in soil, an elapsed time of 42 days (the sampling day) and an aeration rate of 0.22 L/min, with the predicted values of arsenic removal by RSM and ANN being 72.6% and 71.4%, respectively. The validation of the predicted optimum point showed an actual arsenic removal of 70.6%. This was achieved with the deviation between the validation value and the predicted values being within 3.49% (RSM) and 1.87% (ANN). The performance evaluation of the RSM and ANN models showed that ANN performs better than RSM with a higher R 2 (0.97) close to 1.0 and very small Average Absolute Deviation (AAD) (0.02) and Root Mean Square Error (RMSE) (0.004) values close to zero. Both models were appropriate for the optimization of arsenic removal with ANN demonstrating significantly higher predictive and fitting ability than RSM.

Evaluation of Effectiveness of Wavelet Based Denoising Schemes Using ANN and SVM for Bearing Condition Classification

Directory of Open Access Journals (Sweden)

Vijay G. S.

2012-01-01

Full Text Available The wavelet based denoising has proven its ability to denoise the bearing vibration signals by improving the signal-to-noise ratio (SNR and reducing the root-mean-square error (RMSE. In this paper seven wavelet based denoising schemes have been evaluated based on the performance of the Artificial Neural Network (ANN and the Support Vector Machine (SVM, for the bearing condition classification. The work consists of two parts, the first part in which a synthetic signal simulating the defective bearing vibration signal with Gaussian noise was subjected to these denoising schemes. The best scheme based on the SNR and the RMSE was identified. In the second part, the vibration signals collected from a customized Rolling Element Bearing (REB test rig for four bearing conditions were subjected to these denoising schemes. Several time and frequency domain features were extracted from the denoised signals, out of which a few sensitive features were selected using the Fisher’s Criterion (FC. Extracted features were used to train and test the ANN and the SVM. The best denoising scheme identified, based on the classification performances of the ANN and the SVM, was found to be the same as the one obtained using the synthetic signal.

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

Directory of Open Access Journals (Sweden)

K. Prasada Rao

2017-09-01

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

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.

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

Science.gov (United States)

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

1992-07-01

Most currently popular artificial neural networks (ANN) are based on conceptions of neuronal properties that date back to the 1940s and 50s, i.e., to the ideas of McCullough, Pitts, and Hebb. Dystal is an ANN based on current knowledge of neurobiology at the cellular and subcellular level. Networks based on these neurobiological insights exhibit the following advantageous properties: (1) A theoretical storage capacity of bN non-orthogonal memories, where N is the number of output neurons sharing common inputs and b is the number of distinguishable (gray shade) levels. (2) The ability to learn, store, and recall associations among noisy, arbitrary patterns. (3) A local synaptic learning rule (learning depends neither on the output of the post-synaptic neuron nor on a global error term), some of whose consequences are: (4) Feed-forward, lateral, and feed-back connections (as well as time-sensitive connections) are possible without alteration of the learning algorithm; (5) Storage allocation (patch creation) proceeds dynamically as associations are learned (self- organizing); (6) The number of training set presentations required for learning is small (different expressions and/or corrupted by noise, and on reading hand-written digits (98% accuracy) and hand-printed Japanese Kanji (90% accuracy) is demonstrated.

Friendly Letters on the Correspondence of Helen Keller, Anne Sullivan, and Alexander Graham Bell.

Science.gov (United States)

Blatt, Burton

1985-01-01

Excerpts from the letters between Alexander Graham Bell and Anne Sullivan and Helen Keller are given to illustrate the educational and personal growth of Helen Keller as well as the educational philosophy of Bell regarding the education of the deaf blind. (DB)

'In the developed world, people talk and shop'- a review by Anne ...

African Journals Online (AJOL)

'In the developed world, people talk and shop'- a review by Anne Derges. A. Salleh. http://dx.doi.org/10.4314/safere.v3i1.23966 · AJOL African Journals Online. HOW TO USE AJOL... for Researchers · for Librarians · for Authors · FAQ's · More about AJOL · AJOL's Partners · Terms and Conditions of Use · Contact AJOL ...

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

Science.gov (United States)

Johnston, Warren

2009-10-01

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

Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose

Directory of Open Access Journals (Sweden)

Hui-Qin Zou

2014-01-01

Full Text Available Plants from Asteraceae family are widely used as herbal medicines and food ingredients, especially in Asian area. Therefore, authentication and quality control of these different Asteraceae plants are important for ensuring consumers’ safety and efficacy. In recent decades, electronic nose (E-nose has been studied as an alternative approach. In this paper, we aim to develop a novel discriminative model by improving radial basis function artificial neural network (RBF-ANN classification model. Feature selection algorithms, including principal component analysis (PCA and BestFirst + CfsSubsetEval (BC, were applied in the improvement of RBF-ANN models. Results illustrate that in the improved RBF-ANN models with lower dimension data classification accuracies (100% remained the same as in the original model with higher-dimension data. It is the first time to introduce feature selection methods to get valuable information on how to attribute more relevant MOS sensors; namely, in this case, S1, S3, S4, S6, and S7 show better capability to distinguish these Asteraceae plants. This paper also gives insights to further research in this area, for instance, sensor array optimization and performance improvement of classification model.

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...

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

Science.gov (United States)

1999-01-01

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

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

A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

Directory of Open Access Journals (Sweden)

Patricia Jimeno-Sáez

2018-02-01

Full Text Available Streamflow data are of prime importance to water-resources planning and management, and the accuracy of their estimation is very important for decision making. The Soil and Water Assessment Tool (SWAT and Artificial Neural Network (ANN models have been evaluated and compared to find a method to improve streamflow estimation. For a more complete evaluation, the accuracy and ability of these streamflow estimation models was also established separately based on their performance during different periods of flows using regional flow duration curves (FDCs. Specifically, the FDCs were divided into five sectors: very low, low, medium, high and very high flow. This segmentation of flow allows analysis of the model performance for every important discharge event precisely. In this study, the models were applied in two catchments in Peninsular Spain with contrasting climatic conditions: Atlantic and Mediterranean climates. The results indicate that SWAT and ANNs were generally good tools in daily streamflow modelling. However, SWAT was found to be more successful in relation to better simulation of lower flows, while ANNs were superior at estimating higher flows in all cases.

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.

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.

Using AnnAGNPS to Predict the Effects of Tile Drainage Control on Nutrient and Sediment Loads for a River Basin.

Science.gov (United States)

Que, Z; Seidou, O; Droste, R L; Wilkes, G; Sunohara, M; Topp, E; Lapen, D R

2015-03-01

Controlled tile drainage (CTD) can reduce pollutant loading. The Annualized Agricultural Nonpoint Source model (AnnAGNPS version 5.2) was used to examine changes in growing season discharge, sediment, nitrogen, and phosphorus loads due to CTD for a ∼3900-km agriculturally dominated river basin in Ontario, Canada. Two tile drain depth scenarios were examined in detail to mimic tile drainage control for flat cropland: 600 mm depth (CTD) and 200 mm (CTD) depth below surface. Summed for five growing seasons (CTD), direct runoff, total N, and dissolved N were reduced by 6.6, 3.5, and 13.7%, respectively. However, five seasons of summed total P, dissolved P, and total suspended solid loads increased as a result of CTD by 0.96, 1.6, and 0.23%. The AnnAGNPS results were compared with mass fluxes observed from paired experimental watersheds (250, 470 ha) in the river basin. The "test" experimental watershed was dominated by CTD and the "reference" watershed by free drainage. Notwithstanding environmental/land use differences between the watersheds and basin, comparisons of seasonal observed and predicted discharge reductions were comparable in 100% of respective cases. Nutrient load comparisons were more consistent for dissolved, relative to particulate water quality endpoints. For one season under corn crop production, AnnAGNPS predicted a 55% decrease (CTD) in dissolved N from the basin. AnnAGNPS v. 5.2 treats P transport from a surface pool perspective, which is appropriate for many systems. However, for assessment of tile drainage management practices for relatively flat tile-dominated systems, AnnAGNPS may benefit from consideration of P and particulate transport in the subsurface. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN)

International Nuclear Information System (INIS)

Hosseinpour, Soleiman; Aghbashlo, Mortaza; Tabatabaei, Meisam; Khalife, Esmail

2016-01-01

Highlights: • Estimating the biodiesel CN from its FAMEs profile using ANN-based PLS approach. • Comparing the capability of ANN-adapted PLS approach with the standard PLS model. • Exact prediction of biodiesel CN from it FAMEs profile using ANN-based PLS method. • Developing an easy-to-use software using ANN-PLS model for computing the biodiesel CN. - Abstract: Cetane number (CN) is among the most important properties of biodiesel because it quantifies combustion speed or in better words, ignition quality. Experimental measurement of biodiesel CN is rather laborious and expensive. However, the high proportionality of biodiesel fatty acid methyl esters (FAMEs) profile with its CN is very appealing to develop straightforward and inexpensive computerized tools for biodiesel CN estimation. Unfortunately, correlating the chemical structure of biodiesel to its CN using conventional statistical and mathematical approaches is very difficult. To solve this issue, partial least square (PLS) adapted by artificial neural network (ANN) was introduced and examined herein as an innovative approach for the exact estimation of biodiesel CN from its FAMEs profile. In the proposed approach, ANN paradigm was used for modeling the inner relation between the input and the output PLS score vectors. In addition, the capability of the developed method in predicting the biodiesel CN was compared with the basal PLS method. The accuracy of the developed approaches for computing the biodiesel CN was assessed using three statistical criteria, i.e., coefficient of determination (R"2), mean-squared error (MSE), and percentage error (PE). The ANN-adapted PLS method predicted the biodiesel CN with an R"2 value higher than 0.99 demonstrating the fidelity of the developed model over the classical PLS method with a markedly lower R"2 value of about 0.85. In order to facilitate the use of the proposed model, an easy-to-use computer program was also developed on the basis of ANN-adapted PLS

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.

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

Directory of Open Access Journals (Sweden)

Ridha Djemal

2017-01-01

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

[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

Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study.

Science.gov (United States)

Grossi, Enzo; Buscema, Massimo P; Snowdon, David; Antuono, Piero

2007-06-21

Many reports have described that there are fewer differences in AD brain neuropathologic lesions between AD patients and control subjects aged 80 years and older, as compared with the considerable differences between younger persons with AD and controls. In fact some investigators have suggested that since neurofibrillary tangles (NFT) can be identified in the brains of non-demented elderly subjects they should be considered as a consequence of the aging process. At present, there are no universally accepted neuropathological criteria which can mathematically differentiate AD from healthy brain in the oldest old. The aim of this study is to discover the hidden and non-linear associations among AD pathognomonic brain lesions and the clinical diagnosis of AD in participants in the Nun Study through Artificial Neural Networks (ANNs) analysis The analyses were based on 26 clinically- and pathologically-confirmed AD cases and 36 controls who had normal cognitive function. The inputs used for the analyses were just NFT and neuritic plaques counts in neocortex and hippocampus, for which, despite substantial differences in mean lesions counts between AD cases and controls, there was a substantial overlap in the range of lesion counts. By taking into account the above four neuropathological features, the overall predictive capability of ANNs in sorting out AD cases from normal controls reached 100%. The corresponding accuracy obtained with Linear Discriminant Analysis was 92.30%. These results were consistently obtained in ten independent experiments. The same experiments were carried out with ANNs on a subgroup of 13 non severe AD patients and on the same 36 controls. The results obtained in terms of prediction accuracy with ANNs were exactly the same. Input relevance analysis confirmed the relative dominance of NFT in neocortex in discriminating between AD patients and controls and indicated the lesser importance played by NP in the hippocampus. The results of this study

'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.

History of psychosurgery at Sainte-Anne Hospital, Paris, France, through translational interactions between psychiatrists and neurosurgeons.

Science.gov (United States)

Zanello, Marc; Pallud, Johan; Baup, Nicolas; Peeters, Sophie; Turak, Baris; Krebs, Marie Odile; Oppenheim, Catherine; Gaillard, Raphael; Devaux, Bertrand

2017-09-01

Sainte-Anne Hospital is the largest psychiatric hospital in Paris. Its long and fascinating history began in the 18th century. In 1952, it was at Sainte-Anne Hospital that Jean Delay and Pierre Deniker used the first neuroleptic, chlorpromazine, to cure psychiatric patients, putting an end to the expansion of psychosurgery. The Department of Neuro-psychosurgery was created in 1941. The works of successive heads of the Neurosurgery Department at Sainte-Anne Hospital summarized the history of psychosurgery in France. Pierre Puech defined psychosurgery as the necessary cooperation between neurosurgeons and psychiatrists to treat the conditions causing psychiatric symptoms, from brain tumors to mental health disorders. He reported the results of his series of 369 cases and underlined the necessity for proper follow-up and postoperative re-education, illustrating the relative caution of French neurosurgeons concerning psychosurgery. Marcel David and his assistants tried to follow their patients closely postoperatively; this resulted in numerous publications with significant follow-up and conclusions. As early as 1955, David reported intellectual degradation 2 years after prefrontal leucotomies. Jean Talairach, a psychiatrist who eventually trained as a neurosurgeon, was the first to describe anterior capsulotomy in 1949. He operated in several hospitals outside of Paris, including the Sarthe Psychiatric Hospital and the Public Institution of Mental Health in the Lille region. He developed stereotactic surgery, notably stereo-electroencephalography, for epilepsy surgery but also to treat psychiatric patients using stereotactic lesioning with radiofrequency ablation or radioactive seeds of yttrium-90. The evolution of functional neurosurgery has been marked by the development of deep brain stimulation, in particular for obsessive-compulsive disorder, replacing the former lesional stereotactic procedures. The history of Sainte-Anne Hospital's Neurosurgery Department sheds

Interrater reliability of the Saint-Anne Dargassies Scale in assessing the neurological patterns of healthy preterm newborns

Directory of Open Access Journals (Sweden)

Carla Ismirna Santos Alves

Full Text Available Abstract Objectives: to assess the interrater reliability of the Saint-Anne Dargassies Scale in assessing neurological patterns of healthy preterm newborns. Methods: twenty preterm newborns met the inclusion criteria for participation in this prospective study. The neurologic examination was performed using the Saint-Anne Dargassies Scale, showing normal serial cranial ultrasound examination. In order to test the reliability, the study was structured as follows: group I (rater 1/physiotherapist; rater 2/neonatologist; group II (rater 3/physiotherapist; rater 4/child neurologist and the gold standard (expert and professor in pediatric neurology. Results: high interrater agreement was observed between groups I - II compared with the gold standard in assessing postural pattern (p<0.01. Regarding the assessment ofprimitive reflexes, greater agreement was observed in the evaluation of palmar grasp reflex and Moro reflex (p< 0.01 for group I compared with the gold standard. An analysis of tone demonstrated heterogeneous agreement, without compromising the reliability of the scale. The probability of equality between measurements of head circumference in the two groups, compared with the gold standard, was observed. Conclusions: the Saint-Anne Dargassies Scale demonstrated high reliability and homogeneity with significant power of reproducibility and may be capable to identify preterm newborns suspected of having neurological deficits.

A study of using smartphone to detect and identify construction workers' near-miss falls based on ANN

Science.gov (United States)

Zhang, Mingyuan; Cao, Tianzhuo; Zhao, Xuefeng

2018-03-01

As an effective fall accident preventive method, insight into near-miss falls provides an efficient solution to find out the causes of fall accidents, classify the type of near-miss falls and control the potential hazards. In this context, the paper proposes a method to detect and identify near-miss falls that occur when a worker walks in a workplace based on artificial neural network (ANN). The energy variation generated by workers who meet with near-miss falls is measured by sensors embedded in smart phone. Two experiments were designed to train the algorithm to identify various types of near-miss falls and test the recognition accuracy, respectively. At last, a test was conducted by workers wearing smart phones as they walked around a simulated construction workplace. The motion data was collected, processed and inputted to the trained ANN to detect and identify near-miss falls. Thresholds were obtained to measure the relationship between near-miss falls and fall accidents in a quantitate way. This approach, which integrates smart phone and ANN, will help detect near-miss fall events, identify hazardous elements and vulnerable workers, providing opportunities to eliminate dangerous conditions in a construction site or to alert possible victims that need to change their behavior before the occurrence of a fall accident.

Modeling Multi-Event Non-Point Source Pollution in a Data-Scarce Catchment Using ANN and Entropy Analysis

Directory of Open Access Journals (Sweden)

Lei Chen

2017-06-01

Full Text Available Event-based runoff–pollutant relationships have been the key for water quality management, but the scarcity of measured data results in poor model performance, especially for multiple rainfall events. In this study, a new framework was proposed for event-based non-point source (NPS prediction and evaluation. The artificial neural network (ANN was used to extend the runoff–pollutant relationship from complete data events to other data-scarce events. The interpolation method was then used to solve the problem of tail deviation in the simulated pollutographs. In addition, the entropy method was utilized to train the ANN for comprehensive evaluations. A case study was performed in the Three Gorges Reservoir Region, China. Results showed that the ANN performed well in the NPS simulation, especially for light rainfall events, and the phosphorus predictions were always more accurate than the nitrogen predictions under scarce data conditions. In addition, peak pollutant data scarcity had a significant impact on the model performance. Furthermore, these traditional indicators would lead to certain information loss during the model evaluation, but the entropy weighting method could provide a more accurate model evaluation. These results would be valuable for monitoring schemes and the quantitation of event-based NPS pollution, especially in data-poor catchments.

Review: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho and Anne Serafin (eds., African Women Writing Resistance: An Anthology of Contemporary Voices (2010 Buchbesprechung: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho und Anne Serafin (Hrsg., African Women Writing Resistance: An Anthology of Contemporary Voices (2010

Directory of Open Access Journals (Sweden)

Anja Oed

2011-01-01

Full Text Available Review of the edited volume: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho and Anne Serafin (eds., African Women Writing Resistance: An Anthology of Contemporary Voices, Oxford: Pambazuka Press, 2010, ISBN 978-0-299-23664-9, 376 pp.Besprechung des Sammelbandes: Jennifer Browdy de Hernandez, Pauline Dongala, Omotayo Jolaosho und Anne Serafin (Hrsg., African Women Writing Resistance: An Anthology of Contemporary Voices, Oxford: Pambazuka Press, 2010, ISBN 978-0-299-23664-9, 376 Seiten

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

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

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…

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.

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

NARCIS (Netherlands)

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

2015-01-01

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

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

Index Scriptorium Estoniae

Putku, Elsa, 1984-

2009-01-01

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

CUDA-accelerated genetic feedforward-ANN training for data mining

International Nuclear Information System (INIS)

Patulea, Catalin; Peace, Robert; Green, James

2010-01-01

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.

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...

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.

Body Fat Percentage Prediction Using Intelligent Hybrid Approaches

Directory of Open Access Journals (Sweden)

Yuehjen E. Shao

2014-01-01

Full Text Available Excess of body fat often leads to obesity. Obesity is typically associated with serious medical diseases, such as cancer, heart disease, and diabetes. Accordingly, knowing the body fat is an extremely important issue since it affects everyone’s health. Although there are several ways to measure the body fat percentage (BFP, the accurate methods are often associated with hassle and/or high costs. Traditional single-stage approaches may use certain body measurements or explanatory variables to predict the BFP. Diverging from existing approaches, this study proposes new intelligent hybrid approaches to obtain fewer explanatory variables, and the proposed forecasting models are able to effectively predict the BFP. The proposed hybrid models consist of multiple regression (MR, artificial neural network (ANN, multivariate adaptive regression splines (MARS, and support vector regression (SVR techniques. The first stage of the modeling includes the use of MR and MARS to obtain fewer but more important sets of explanatory variables. In the second stage, the remaining important variables are served as inputs for the other forecasting methods. A real dataset was used to demonstrate the development of the proposed hybrid models. The prediction results revealed that the proposed hybrid schemes outperformed the typical, single-stage forecasting models.

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

Energy Technology Data Exchange (ETDEWEB)

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

2011-02-15

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

ANN based controller for three phase four leg shunt active filter for power quality improvement

Directory of Open Access Journals (Sweden)

J. Jayachandran

2016-03-01

Full Text Available In this paper, an artificial neural network (ANN based one cycle control (OCC strategy is proposed for the DSTATCOM shunted across the load in three phase four wire distribution system. The proposed control strategy mitigates harmonic/reactive currents, ensures balanced and sinusoidal source current from the supply mains that are nearly in phase with the supply voltage and compensates neutral current under varying source and load conditions. The proposed control strategy is superior over conventional methods as it eliminates, the sensors needed for sensing load current and coupling inductor current, in addition to the multipliers and the calculation of reference currents. ANN controllers are implemented to maintain voltage across the capacitor and as a compensator to compensate neutral current. The DSTATCOM performance is validated for all possible conditions of source and load by simulation using MATLAB software and simulation results prove the efficacy of the proposed control over conventional control strategy.

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

International Nuclear Information System (INIS)

Hasanien, Hany M.

2011-01-01

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.

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

Science.gov (United States)

Alizadeh, Mohamad Javad; Kavianpour, Mohamad Reza

2015-09-15

The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural network (WNN) models for predicting a variety of ocean water quality parameters. In this regard, several water quality parameters in Hilo Bay, Pacific Ocean, are taken under consideration. Different combinations of water quality parameters are applied as input variables to predict daily values of salinity, temperature and DO as well as hourly values of DO. The results demonstrate that the WNN models are superior to the ANN models. Also, the hourly models developed for DO prediction outperform the daily models of DO. For the daily models, the most accurate model has R equal to 0.96, while for the hourly model it reaches up to 0.98. Overall, the results show the ability of the model to monitor the ocean parameters, in condition with missing data, or when regular measurement and monitoring are impossible. Copyright © 2015 Elsevier Ltd. All rights reserved.

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

Science.gov (United States)

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

2016-01-01

Introduction Plusieurs facteurs dont les notes obtenues au BAC peuvent influencer les performances académiques des étudiants en première année de médecine. L'objectif de cette étude était d’évaluer la relation entre les résultats des étudiants au BAC et le succès en première année de médecine. Méthodes Nous avons réalisé une étude analytique ayant inclus l'ensemble des étudiants régulièrement inscrits en première année à la Faculté de Médecine de l'université de Parakou durant l'année académique 2010-2011. Les données concernant les notes par discipline et mention obtenue au BAC ont été collectées. Une analyse multivariée utilisant la régression logistique et la régression linéaire multiple a permis d’établir les meilleurs prédicteurs du succès et de la moyenne de l’étudiant en fin d'année. Le logiciel SPSS version 17.0 a été utilisé pour l'analyse des données et un p 15/20 était associée au succès (OR: 2,8 [1,32- 6,00]). Pour la moyenne générale obtenue en fin d'année seule une mention bien obtenue au BAC était associée (coefficient de l'erreur standard: 0,130 Bêta =0,370 et p=0,00001). Conclusion Les meilleurs prédicateurs du succès en première année étaient une bonne moyenne en sciences physiques au BAC et une mention bien. La prise en compte de ces éléments dans le recrutement des étudiants en première année pourrait améliorer les résultats académiques. PMID:27313819

Neuropathological findings processed by artificial neural networks (ANNs can perfectly distinguish Alzheimer's patients from controls in the Nun Study

Directory of Open Access Journals (Sweden)

Snowdon David

2007-06-01

Full Text Available Abstract Background Many reports have described that there are fewer differences in AD brain neuropathologic lesions between AD patients and control subjects aged 80 years and older, as compared with the considerable differences between younger persons with AD and controls. In fact some investigators have suggested that since neurofibrillary tangles (NFT can be identified in the brains of non-demented elderly subjects they should be considered as a consequence of the aging process. At present, there are no universally accepted neuropathological criteria which can mathematically differentiate AD from healthy brain in the oldest old. The aim of this study is to discover the hidden and non-linear associations among AD pathognomonic brain lesions and the clinical diagnosis of AD in participants in the Nun Study through Artificial Neural Networks (ANNs analysis Methods The analyses were based on 26 clinically- and pathologically-confirmed AD cases and 36 controls who had normal cognitive function. The inputs used for the analyses were just NFT and neuritic plaques counts in neocortex and hippocampus, for which, despite substantial differences in mean lesions counts between AD cases and controls, there was a substantial overlap in the range of lesion counts. Results By taking into account the above four neuropathological features, the overall predictive capability of ANNs in sorting out AD cases from normal controls reached 100%. The corresponding accuracy obtained with Linear Discriminant Analysis was 92.30%. These results were consistently obtained in ten independent experiments. The same experiments were carried out with ANNs on a subgroup of 13 non severe AD patients and on the same 36 controls. The results obtained in terms of prediction accuracy with ANNs were exactly the same. Input relevance analysis confirmed the relative dominance of NFT in neocortex in discriminating between AD patients and controls and indicated the lesser importance

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

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

Science.gov (United States)

2010-05-04

... Acceptance of a Settlement Agreement and Order AGENCY: Consumer Product Safety Commission. ACTION: Notice... under the laws of the State of Ohio, with its principal offices located in Hudson, Ohio. At all times relevant hereto, Jo-Ann imported, offered for sale and sold various children's products. Staff Allegations...

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

Index Scriptorium Estoniae

Leito, Ivo, 1972-

2015-01-01

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

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.

DESIGN OF A VISUAL INTERFACE FOR ANN BASED SYSTEMS

Directory of Open Access Journals (Sweden)

Ramazan BAYINDIR

2008-01-01

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

Geografía del exilio sefardí en La lozana andaluza / Geography of the Sephardic exile in La lozana andaluza

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Marisa García Verdugo

2009-09-01

Full Text Available Resumen: Este trabajo trata de los elementos autobiográficos presentes en el Retrato de la Lozana andaluza de Francisco Delicado. Delicado se convirtió al cristianismo y se hizo sacerdote, aun así siguió a los judíos a su exilio en Italia, convivió con ellos en Roma y tras el Saqueo de Roma en 1527, se volvió a encontrar entre los sefarditas en Venecia. Francisco Delicado localiza su historia en los lugares donde habitaron los judíos sefarditas y nos lega un autorretrato cifrado en La lozana andaluza.Summary: This paper deals with the autobiographical elements present in The portrait of the Lusty Andalusian Woman by the Spanish writer Francisco Delicado. Francisco Delicado became a converso and a priest during the time of the expulsion of the Jews from Spain, however he followed the exiled Jews to Italy, lived with them in Rome and left Rome after the Sac of Rome in 1527 to find himself again with the Sephardim in Venice. Francisco Delicado sets his story in the places where there were Spanish Jews and left an encrypted self portrait in his creation of La lozana andaluza.

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

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

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

Science.gov (United States)

2011-12-23

...: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION... Michigan officials and its Museum of Anthropology professional staff in consultation with representatives... accessioned into the Museum of Anthropology. Between 2007 and 2009 the remains were inventoried at the...

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

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

NARCIS (Netherlands)

Lintvelt, Jaap

2007-01-01

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

La decision de Anne (2009: estudio de la creación de embriones genéticamente seleccionados para la curación de pacientes crónicos

Directory of Open Access Journals (Sweden)

Ester CASILLAS SAGRADO

2016-09-01

Full Text Available La decisión de Anne/ My sister´s keeper (2009 es una película de Nick Cassavetes que cuenta la historia de Anne Fitzgerald, una niña de 11 años que fue concebida para salvar a su hermana mayor, Karen, con Leucemia Promielocítica Aguda. Cuando se le plantea la necesidad de realizar un trasplante de riñón a su hermana enferma, Anne decide demandar a sus padres sobre los derechos de su cuerpo para no tener que someterse a ese procedimiento que puede condicionar para siempre su calidad de vida. Ante esta situación la madre de Anne comienza una lucha judicial contra la menor de sus hijas en un intento de disuadirla para que realice la donación aunque esto implique seguir siendo el soporte del que dependa la supervivencia de su hermana de forma indefinida.

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

Directory of Open Access Journals (Sweden)

Vahid Nourani

2009-01-01

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

Prediction of groundwater levels from lake levels and climate data using ANN approach

OpenAIRE

Dogan, Ahmet; Demirpence, Husnu; Cobaner, Murat

2008-01-01

There are many environmental concerns relating to the quality and quantity of surface and groundwater. It is very important to estimate the quantity of water by using readily available climate data for managing water resources of the natural environment. As a case study an artificial neural network (ANN) methodology is developed for estimating the groundwater levels (upper Floridan aquifer levels) as a function of monthly averaged precipitation, evaporation, and measured levels of Magnolia an...

Classification of molecular structure images by using ANN, RF, LBP, HOG, and size reduction methods for early stomach cancer detection

Science.gov (United States)

Aytaç Korkmaz, Sevcan; Binol, Hamidullah

2018-03-01

Patients who die from stomach cancer are still present. Early diagnosis is crucial in reducing the mortality rate of cancer patients. Therefore, computer aided methods have been developed for early detection in this article. Stomach cancer images were obtained from Fırat University Medical Faculty Pathology Department. The Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG) features of these images are calculated. At the same time, Sammon mapping, Stochastic Neighbor Embedding (SNE), Isomap, Classical multidimensional scaling (MDS), Local Linear Embedding (LLE), Linear Discriminant Analysis (LDA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Laplacian Eigenmaps methods are used for dimensional the reduction of the features. The high dimension of these features has been reduced to lower dimensions using dimensional reduction methods. Artificial neural networks (ANN) and Random Forest (RF) classifiers were used to classify stomach cancer images with these new lower feature sizes. New medical systems have developed to measure the effects of these dimensions by obtaining features in different dimensional with dimensional reduction methods. When all the methods developed are compared, it has been found that the best accuracy results are obtained with LBP_MDS_ANN and LBP_LLE_ANN methods.

ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China

Directory of Open Access Journals (Sweden)

Chang Juan

2017-01-01

Full Text Available Precisely quantitative assessments of stream flow response to climatic change and permafrost thawing are highly challenging and urgent in cold regions. However, due to the notably harsh environmental conditions, there is little field monitoring data of runoff in permafrost regions, which has limited the development of physically based models in these regions. To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR on the Qinghai-Tibet Plateau, two artificial neural network (ANN models, one with three input variables (previous runoff, air temperature, and precipitation and another with two input variables (air temperature and precipitation only, were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. Under the different scenarios conditions, the forecasting results of ANN model indicated that climate change has a great effect on the runoff processes in the TRHR. The results of this study are of practical significance for water resources management and the evaluation of the impacts of climatic change on the hydrological regime in long-term considerations.

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

Science.gov (United States)

Thomson, Karen M.

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

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

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Isil Bas

2013-12-01

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

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

Index Scriptorium Estoniae

2013-01-01

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

76 FR 73670 - Notice of Inventory Completion: University of Michigan Museum of Anthropology, Ann Arbor, MI

Science.gov (United States)

2011-11-29

...: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION... Museum of Anthropology NAGPRA collections staff in consultation with representatives of the Bay Mills... Anthropology purchased the human remains from Reverend L. P. Rowland in November of 1924 as part of a larger...

Comparative study on the predictability of statistical models (RSM and ANN) on the behavior of optimized buccoadhesive wafers containing Loratadine and their in vivo assessment.

Science.gov (United States)

Chakraborty, Prithviraj; Parcha, Versha; Chakraborty, Debarupa D; Ghosh, Amitava

2016-01-01

Buccoadhesive wafer dosage form containing Loratadine is formulated utilizing Formulation by Design (FbD) approach incorporating sodium alginate and lactose monohydrate as independent variable employing solvent casting method. The wafers were statistically optimized using Response Surface Methodology (RSM) and Artificial Neural Network algorithm (ANN) for predicting physicochemical and physico-mechanical properties of the wafers as responses. Morphologically wafers were tested using SEM. Quick disintegration of the samples was examined employing Optical Contact Angle (OCA). The comparison of the predictability of RSM and ANN showed a high prognostic capacity of RSM model over ANN model in forecasting mechanical and physicochemical properties of the wafers. The in vivo assessment of the optimized buccoadhesive wafer exhibits marked increase in bioavailability justifying the administration of Loratadine through buccal route, bypassing hepatic first pass metabolism.

Régis Boulat, Jean Fourastié, un expert en productivité. La modernisation de la France (années 1930–années 1950)

OpenAIRE

Denord, François

2011-01-01

De Jean Fourastié, beaucoup se souviennent qu’il a inventé la formule « les Trente Glorieuses ». Sa renommée aurait pu à elle seule justifier une biographie. Issu d’une thèse de doctorat d’histoire soutenue à l’université de Franche-Comté, le livre de Régis Boulat doit pourtant peu à ce genre académique. S’il rend compte de la trajectoire de Jean Fourastié, c’est comme véhicule de la notion de productivité en France entre les années 1930 et 1950. Praticien et expert de l’économie, haut foncti...

Spanish exiles and the dilemma of the Cold War. Prieto, Esplá, Araquistáin and Llopis | Exiliados españoles en la encrucijada de la Guerra Fría. Prieto, Esplá, Araquistáin y Llopis

Directory of Open Access Journals (Sweden)

Pedro Luis Angosto Vélez

2003-12-01

Full Text Available Personal attitudes were a determining factor in the position of Spanish Republican exiles regarding the question of restoring democracy in Spain at the beginning of the Cold War. After the Second World War had ended, many exiles came cherish a hope that such a development might be possible with the help of the victorious democracies, particularly the United States and the United Kingdom. They failed, however, to reach agreement as to which tactic to use in order to enlist this help, with some arguing in favour of giving the leading role to the government in exile, while others felt it was preferable to strike an agreement between all Spanish anti-Francoist groups in order to present a united democratic front to the new international institutions which had emerged in the post-war climate. The subtleties of both positions may be examined through a study of influential figures such as Indalecio Prieto, Carlos Esplá, Rodolfo Llopis and Luis Araquistán, of whom we now have a greater knowledge thanks to recent biographies, which form the basis of this work. | Las actitudes personales es un factor determinante de la posición del exilio republicano español ante el problema de la restauración de la democracia en España en la coyuntura del inicio de la Guerra Fría. Finalizada la Segunda Guerra Mundial, en los medios del exilio se generalizó la esperanza de que tal cosa era posible gracias a la ayuda de las democracias vencedoras, en particular de Estados Unidos y el Reino Unido. Sin embargo, no hubo unanimidad sobre la táctica a seguir para recabar esa ayuda, pues mientras unos abogaron por conceder el máximo protagonismo al gobierno en el exilio, otros consideraron más oportuno establecer un acuerdo entre las fuerzas antifranquistas españolas para presentar un frente democrático unido ante las nuevas instituciones internacionales surgidas del conflicto mundial. Ambas posturas presentan matices que pueden ser examinados a partir del talante

La ville selon Babar: espace urbain et ville-modèle dans les années 1930

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Laurent GRISON

1997-03-01

Full Text Available L'analyse de deux représentations urbaines présentes dans les albums pour enfants de Jean de Brunhoff nous permet de mettre en évidence la diffusion des recherches géographiques et urbanistiques dans les années 1930.

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

Science.gov (United States)

2011-07-27

... Cultural Items: University of Michigan Museum of Anthropology, Ann Arbor, MI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The University of Michigan Museum of Anthropology, in consultation with... contact the University of Michigan Museum of Anthropology. DATES: Representatives of any Indian tribe that...

The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach.

Science.gov (United States)

Fiyadh, Seef Saadi; AlSaadi, Mohammed Abdulhakim; AlOmar, Mohamed Khalid; Fayaed, Sabah Saadi; Hama, Ako R; Bee, Sharifah; El-Shafie, Ahmed

2017-11-01

The main challenge in the lead removal simulation is the behaviour of non-linearity relationships between the process parameters. The conventional modelling technique usually deals with this problem by a linear method. The substitute modelling technique is an artificial neural network (ANN) system, and it is selected to reflect the non-linearity in the interaction among the variables in the function. Herein, synthesized deep eutectic solvents were used as a functionalized agent with carbon nanotubes as adsorbents of Pb 2+ . Different parameters were used in the adsorption study including pH (2.7 to 7), adsorbent dosage (5 to 20 mg), contact time (3 to 900 min) and Pb 2+ initial concentration (3 to 60 mg/l). The number of experimental trials to feed and train the system was 158 runs conveyed in laboratory scale. Two ANN types were designed in this work, the feed-forward back-propagation and layer recurrent; both methods are compared based on their predictive proficiency in terms of the mean square error (MSE), root mean square error, relative root mean square error, mean absolute percentage error and determination coefficient (R 2 ) based on the testing dataset. The ANN model of lead removal was subjected to accuracy determination and the results showed R 2 of 0.9956 with MSE of 1.66 × 10 -4 . The maximum relative error is 14.93% for the feed-forward back-propagation neural network model.

Ever Ready to Go: The Multiple Exiles of Leo Szilard

Science.gov (United States)

Frank, Tibor

2005-06-01

I argue that to understand the life and work of Leo Szilard (1898 1964) we have to understand, first, that he was driven by events to numerous departures, escapes, and exiles, changing his religion, his language, his country of residence, and his scientific disciplines; second, that he was a man haunted by major moral dilemmas throughout his life, burdened by a sincere and grave sense of responsibility for the fate of the world; and third, that he experienced a terrible sense of déjà vu: his excessive sensitivity and constant alertness were products of his experiences as a young student in Budapest in 1919. The mature Szilard in Berlin of 1933, and forever after, was always ready to move. I proceed as follows:After a brief introduction to his family background, youth, and education in Budapest, I discuss the impact of his army service in the Great War and of the tumultous events in Hungary in 1918 1919 on his life and psyche, forcing him to leave Budapest for Berlin in late 1919. He completed his doctoral degree under Max von Laue (1879 1960) at the University of Berlin in 1922 and his Habilitationsschrift in 1925. During the 1920s and early 1930s, he filed a number of patents, several of them jointly with Albert Einstein (1879 1955). He left Berlin in March 1933 for London where he played a leading role in the rescue operations for refugee scientists and scholars from Nazi Germany. He also carried out notable research in nuclear physics in London and Oxford before immigrating to the United States at the end of 1938. He drafted Einstein’s famous letter of August 2, 1939, to President Franklin D. Roosevelt, worked in the Manhattan Project during World War II, initiated a petition to President Harry S. Truman not to use the bomb on Japan, and immediately after the war was a leader in the scientists’ movement that resulted in civilian control of nuclear energy. In 1946 he turned to biology, in which his most significant contribution was to formulate a theory of

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

Directory of Open Access Journals (Sweden)

Angelika Brodersen

2015-03-01

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

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

Petrography, mineralogy, and chemistry of calcite-silica deposits at Exile Hill, Nevada, compared with local spring deposits

International Nuclear Information System (INIS)

Vaniman, D.T.; Chipera, S.J.; Bish, D.L.

1995-12-01

Chemical, mineralogic, and petrographic analyses of siliceous calcretes from Exile Hill east of Yucca Mountain, Nevada, indicate that pedogenic processes alone account for the formation of the calcretes. These calcretes have been interpreted by some observers as evidence of seismically triggered eruptions of deep water. Such an origin could have important consequences if Yucca Mountain is developed as an unsaturated site for the disposal of high-level nuclear waste. At odds with this hypothesis are the absence of features that should be present at fault-fed springs (e.g., fissure-ridge mounds with microterraces) and the preservation within root casts of delicate pedogenic microfossils, such as calcified filaments and needle-fiber calcites. Mineral-chemical evidence of pedogenic origin is found in heavy-mineral concentrations, reflected in Fe and Sc enrichments. These concentrations, which occur in the most massive of the vein calcretes, require derivation of detritus from a mixture of weathered and eolian materials that occur in the overlying B soil horizons, as opposed to direct incorporation of adjacent unweathered bedrock. Carbonate and silica abundances and accumulation rates are well within the scope of pedogenic processes. Calcium is derived from rainwater or eolian sources, whereas silica is derived in part by dissolution of local volcanic glasses or from dissolution of unstable silica minerals that are abundant in the local tuffs. In contrast with local deposits that are of spring or seep origin, the siliceous calcretes at Yucca Mountain are pedogenic in origin as well as evolution and provide no evidence in support of conjectured spring activity

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

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Seçil Yücedağ

2017-12-01

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

降雨が流出に影響を及ぼす日数のANN^※を利用した推測

OpenAIRE

山田, 幸寿; 四俵, 正俊

2000-01-01

Groundwater runoff is originated from the rain of the past. The influential period of rain on groundwater runoff is said to be from one month to one year. The authors carried out long term runoff estimation for Shonai River Basin, Chubu, Japan by means of artificial neural networks (ANN). The period of strong influence of rain on the runoff was sought by comparing the accuracy of estimations with various periods of rain used as inputs of ANN. One month was found probable as the influential pe...

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

Energy Technology Data Exchange (ETDEWEB)

Delnavaz, M. [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of); Ayati, B., E-mail: ayati_bi@modares.ac.ir [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of); Ganjidoust, H. [Tarbiat Modares University, Civil Engineering Department, Environmental Engineering Division, Tehran (Iran, Islamic Republic of)

2010-07-15

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.

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

OpenAIRE

Yuan, Yongping; Bingner, Ronald L.; Locke, Martin A.; Stafford, Jim; Theurer, Fred D.

2011-01-01

High phosphorus (P) loss from agricultural fields has been an environmental concern because of potential water quality problems in streams and lakes. To better understand the process of P loss and evaluate the effects of different phosphorus fertilization rates on phosphorus losses, the USDA Annualized AGricultural Non-Point Source (AnnAGNPS) pollutant loading model was applied to the Ohio Upper Auglaize watershed, located in the southern portion of the Maumee River Basin. In this study, the ...

FE-ANN based modeling of 3D Simple Reinforced Concrete Girders for Objective Structural Health Evaluation : Tech Transfer Summary

Science.gov (United States)

2017-06-01

The objective of this study was to develop an objective, quantitative method for evaluating damage to bridge girders by using artificial neural networks (ANNs). This evaluation method, which is a supplement to visual inspection, requires only the res...

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.

Optimal factor evaluation for the dissolution of alumina from Azaraegbelu clay in acid solution using RSM and ANN comparative analysis

Directory of Open Access Journals (Sweden)

P.E. Ohale

2017-12-01

Full Text Available Artificial neural network (ANN and Response Surface Methodology based on a 25−1 fractional factorial design were used as tools for simulation and optimisation of the dissolution process for Azaraegbelu clay. A feedforward neural network model with Levenberg–Marquard back propagating training algorithm was adapted to predict the response (alumina yield. The studied input variables were temperature, stirring speed, clay to acid dosage, leaching time and leachant concentration. The raw clay was characterized for structure elucidation via FTIR, SEM and X-ray diffraction spectroscopic techniques and the result indicates that the clay is predominantly kaolinite. Leachant concentration and dosage ratio were found to be the most significant process parameter with p-value of 0.0001. The performance of the ANN and RSM model showed adequate prediction of the response, with AAD of 11.6% and 3.6%, and R2 of 0.9733 and 0.9568, respectively. A non-dominated optimal response of 81.45% yield of alumina at 4.6 M sulphuric acid concentration, 214 min leaching time, 0.085 g/ml dosage and 214 rpm stirring speed was established as a viable route for reduced material and operating cost via RSM. Keywords: Alumina dissolution, ANN modelling, Azaraegbelu, Clay, RSM

Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

International Nuclear Information System (INIS)

Sagai Francis Britto, A.; Raj, R. Edwin; Mabel, M. Carolin

2017-01-01

Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

Energy Technology Data Exchange (ETDEWEB)

Sagai Francis Britto, A. [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Raj, R. Edwin, E-mail: redwinraj@gmail.com [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Mabel, M. Carolin [Department of Electrical and Electronics Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India)

2017-04-24

Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

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 ...

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

Comparison of PET-CT and magnetic resonance diffusion weighted imaging with body suppression (DWIBS) for initial staging of malignant lymphomas

Energy Technology Data Exchange (ETDEWEB)

Stéphane, Velasco, E-mail: stephane.velasco@chu-poitiers.fr [Department of Radiology, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Samuel, Burg, E-mail: s.burg@chu-poitiers.fr [Department of Nuclear Medicine, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Department of Nuclear Medicine, Saint-Louis Hospital, Paris CHU Saint Louis, 40 rue de Bichat, 75 010 Paris (France); Vincent, Delwail, E-mail: v.delwail@chu-poitiers.fr [Department of Hematology, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Joelle, Guilhot, E-mail: j.guilhot@chu-poitiers.fr [Department of Hematology, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Remy, Perdrisot, E-mail: r.perdrisot@chu-poitiers.fr [Department of Nuclear Medicine, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Francois, Guilhot Gaudeffroy, E-mail: f.guilhot-gaudeffroy@chu-poitiers.fr [Department of Hematology, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France); Jean-Pierre, Tasu, E-mail: j.p.tasu@chu-poitiers.fr [Department of Radiology, CHU de Poitiers, rue de la milétrie, 86000 Poitiers (France)

2013-11-01

Objective: To evaluate the clinical impact of diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) in staging of malignant lymphoma. Methods: Twenty-three patients with proven malignant lymphomas were prospectively enrolled. DWIBS (b = 0, 1000 s/mm{sup 2}) examinations and PET-CT were performed respectively on an Intera 1.5 T unit and a Gyroscan PET-CT scan (Philips Medical system, Best, the Netherland). The criteria for positive node involvement were a size over 10 mm or an apparent diffusion coefficient (ADC) value under 0.75 10{sup −3} mm{sup 2}/s for nodes under 10 mm. For extranodal analysis, a high or heterogeneous signal on DWIBS was considered as positive. In cases of discordance, the reference standard for each region or organ was established at 6 months after the diagnosis according to all available clinical, biological information, as well as histological evidence or follow-up to prove or disprove the presence of disease. Results: DWIBS and PET-CT results were congruent in 333 node regions on the 345 areas analyzed, with excellent agreement (κ = 0.97, P < 0.0001). From 433 organs analyzed (one patient had splenectomy) extranodal disease was detected in 22 organs on DWIBS. The two imaging techniques agreed on 430 organs (κ = 0.99, P < 0.0001). Finally, Ann Arbor stages based on DWIBS and those of PET/CT were in agreement for 23 patients. Conclusions: For malignant lymphoma in a pre-therapeutic context, agreement between diffusion-weighted whole-body imaging and PET/CT is high for Ann Arbor staging.

Comparison of PET-CT and magnetic resonance diffusion weighted imaging with body suppression (DWIBS) for initial staging of malignant lymphomas

International Nuclear Information System (INIS)

Stéphane, Velasco; Samuel, Burg; Vincent, Delwail; Joelle, Guilhot; Remy, Perdrisot; Francois, Guilhot Gaudeffroy; Jean-Pierre, Tasu

2013-01-01

Objective: To evaluate the clinical impact of diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) in staging of malignant lymphoma. Methods: Twenty-three patients with proven malignant lymphomas were prospectively enrolled. DWIBS (b = 0, 1000 s/mm 2 ) examinations and PET-CT were performed respectively on an Intera 1.5 T unit and a Gyroscan PET-CT scan (Philips Medical system, Best, the Netherland). The criteria for positive node involvement were a size over 10 mm or an apparent diffusion coefficient (ADC) value under 0.75 10 −3 mm 2 /s for nodes under 10 mm. For extranodal analysis, a high or heterogeneous signal on DWIBS was considered as positive. In cases of discordance, the reference standard for each region or organ was established at 6 months after the diagnosis according to all available clinical, biological information, as well as histological evidence or follow-up to prove or disprove the presence of disease. Results: DWIBS and PET-CT results were congruent in 333 node regions on the 345 areas analyzed, with excellent agreement (κ = 0.97, P < 0.0001). From 433 organs analyzed (one patient had splenectomy) extranodal disease was detected in 22 organs on DWIBS. The two imaging techniques agreed on 430 organs (κ = 0.99, P < 0.0001). Finally, Ann Arbor stages based on DWIBS and those of PET/CT were in agreement for 23 patients. Conclusions: For malignant lymphoma in a pre-therapeutic context, agreement between diffusion-weighted whole-body imaging and PET/CT is high for Ann Arbor staging

Valorization of aquaculture waste in removal of cadmium from aqueous solution: optimization by kinetics and ANN analysis

Science.gov (United States)

Aditya, Gautam; Hossain, Asif

2018-05-01

Cadmium is one of the most hazardous heavy metal concerning human health and aquatic pollution. The removal of cadmium through biosorption is a feasible option for restoration of the ecosystem health of the contaminated freshwater ecosystems. In compliance with this proposition and considering the efficiency of calcium carbonate as biosorbent, the shell dust of the economically important snail Bellamya bengalensis was tested for the removal of cadmium from aqueous medium. Following use of the flesh as a cheap source of protein, the shells of B. bengalensis made up of CaCO3 are discarded as aquaculture waste. The biosorption was assessed through batch sorption studies along with studies to characterize the morphology and surface structures of waste shell dust. The data on the biosorption were subjected to the artificial neural network (ANN) model for optimization of the process. The biosorption process changed as functions of pH of the solution, concentration of heavy metal, biomass of the adsorbent and time of exposure. The kinetic process was well represented by pseudo second order ( R 2 = 0.998), and Langmuir equilibrium ( R 2 = 0.995) had better fits in the equilibrium process with 30.33 mg g-1 of maximum sorption capacity. The regression equation ( R 2 = 0.948) in the ANN model supports predicted values of Cd removal satisfactorily. The normalized importance analysis in ANN predicts Cd2+ concentration, and pH has the most influence in removal than biomass dose and time. The SEM and EDX studies show clear peaks for Cd confirming the biosorption process while the FTIR study depicts the main functional groups (-OH, C-H, C=O, C=C) responsible for the biosorption process. The study indicated that the waste shell dust can be used as an efficient, low cost, environment friendly, sustainable adsorbent for the removal of cadmium from aqueous solution.

Biosurfactant-biopolymer driven microbial enhanced oil recovery (MEOR) and its optimization by an ANN-GA hybrid technique.

Science.gov (United States)

Dhanarajan, Gunaseelan; Rangarajan, Vivek; Bandi, Chandrakanth; Dixit, Abhivyakti; Das, Susmita; Ale, Kranthikiran; Sen, Ramkrishna

2017-08-20

A lipopeptide biosurfactant produced by marine Bacillus megaterium and a biopolymer produced by thermophilic Bacillus licheniformis were tested for their application potential in the enhanced oil recovery. The crude biosurfactant obtained after acid precipitation effectively reduced the surface tension of deionized water from 70.5 to 28.25mN/m and the interfacial tension between lube oil and water from 18.6 to 1.5mN/m at a concentration of 250mgL -1 . The biosurfactant exhibited a maximum emulsification activity (E 24 ) of 81.66% against lube oil. The lipopeptide micelles were stabilized by addition of Ca 2+ ions to the biosurfactant solution. The oil recovery efficiency of Ca 2+ conditioned lipopeptide solution from a sand-packed column was optimized by using artificial neural network (ANN) modelling coupled with genetic algorithm (GA) optimization. Three important parameters namely lipopeptide concentration, Ca 2+ concentration and solution pH were considered for optimization studies. In order to further improve the recovery efficiency, a water soluble biopolymer produced by Bacillus licheniformis was used as a flooding agent after biosurfactant incubation. Upon ANN-GA optimization, 45% tertiary oil recovery was achieved, when biopolymer at a concentration of 3gL -1 was used as a flooding agent. Oil recovery was only 29% at optimal conditions predicted by ANN-GA, when only water was used as flooding solution. The important characteristics of biopolymers such as its viscosity, pore plugging capabilities and bio-cementing ability have also been tested. Thus, as a result of biosurfactant incubation and biopolymer flooding under the optimal process conditions, a maximum oil recovery of 45% was achieved. Therefore, this study is novel, timely and interesting for it showed the combined influence of biosurfactant and biopolymer on solubilisation and mobilization of oil from the soil. Copyright © 2017 Elsevier B.V. All rights reserved.

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.

Modeling of policies for reduction of GHG emissions in energy sector using ANN: case study-Croatia (EU).

Science.gov (United States)

Bolanča, Tomislav; Strahovnik, Tomislav; Ukić, Šime; Stankov, Mirjana Novak; Rogošić, Marko

2017-07-01

This study describes the development of tool for testing different policies for reduction of greenhouse gas (GHG) emissions in energy sector using artificial neural networks (ANNs). The case study of Croatia was elaborated. Two different energy consumption scenarios were used as a base for calculations and predictions of GHG emissions: the business as usual (BAU) scenario and sustainable scenario. Both of them are based on predicted energy consumption using different growth rates; the growth rates within the second scenario resulted from the implementation of corresponding energy efficiency measures in final energy consumption and increasing share of renewable energy sources. Both ANN architecture and training methodology were optimized to produce network that was able to successfully describe the existing data and to achieve reliable prediction of emissions in a forward time sense. The BAU scenario was found to produce continuously increasing emissions of all GHGs. The sustainable scenario was found to decrease the GHG emission levels of all gases with respect to BAU. The observed decrease was attributed to the group of measures termed the reduction of final energy consumption through energy efficiency measures.

The Spanish press and the Argentine dictatorship (1976-1983: the portrayal of exile in «ABC», «El País» and «Triunfo» Prensa española y dictadura argentina (1976-1983: la imagen del exilio en «ABC», «El País» y «Triunfo»

Directory of Open Access Journals (Sweden)

Patricia MARENGHI

2010-10-01

Full Text Available The article analyses the information publishes in the Spanish press (El País, ABC and Triunfo on the phenomenon of the Argentine exile and on the last dictatorship (1976­1983 which caused it. The object is to examine the portrayal of the exiles that was developed in these newspapers. Two periods were selected which include the months of May and June in 1978 (Football World Cup, and April, May and June of 1982 (Malvinas War, as these events attracted the interest of international media.Este trabajo analiza las informaciones aparecidas en la prensa española (El País, ABC y Triunfo sobre el exilio argentino y la última dictadura (1976-1983 que lo provocó. Busca, en este sentido, examinar la imagen que de ellos desarrollaron estos diarios. Se han escogido dos períodos de tiempo que incluyen los meses de mayo y junio de 1978 (Mundial de Fútbol y abril, mayo y junio de 1982 (Guerra de Malvinas ya que fueron los que más despertaron el interés internacional de los medios de comunicación.

Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics

International Nuclear Information System (INIS)

Dong, Zibo; Yang, Dazhi; Reindl, Thomas; Walsh, Wilfred M.

2014-01-01

Highlights: • Satellite image analysis is performed and cloud cover index is classified using self-organizing maps (SOM). • The ESSS model is used to forecast cloud cover index. • Solar irradiance is estimated using multi-layer perceptron (MLP). • The proposed model shows better accuracy than other investigated models. - Abstract: We forecast hourly solar irradiance time series using satellite image analysis and a hybrid exponential smoothing state space (ESSS) model together with artificial neural networks (ANN). Since cloud cover is the major factor affecting solar irradiance, cloud detection and classification are crucial to forecast solar irradiance. Geostationary satellite images provide cloud information, allowing a cloud cover index to be derived and analysed using self-organizing maps (SOM). Owing to the stochastic nature of cloud generation in tropical regions, the ESSS model is used to forecast cloud cover index. Among different models applied in ANN, we favour the multi-layer perceptron (MLP) to derive solar irradiance based on the cloud cover index. This hybrid model has been used to forecast hourly solar irradiance in Singapore and the technique is found to outperform traditional forecasting models

Evaluation of Seasonal, ANN, and Hybrid Models in Modeling Urban Water Consumption A Case Study of Rash City

Directory of Open Access Journals (Sweden)

Seyed Nematollah Mousavi

2016-09-01

Full Text Available Forecasting future water consumption in cities to plan for the required capacities in urban water supply systems (including water transmission networks and water treatment facilities depends on the application of behavioral models of uban water consumption. Being located in the North-South corridor, Rasht City is assuming a new role to play in the national economy as a foreign trade center. It will, thus, be necessary to review its present urban infrastructure in order to draft the required infrastructural development plans for meeting the city’s future water demands. The three Seasonal Autoregressive Integrated Moving Average (SARIMA, Artificial Neural Network (ANN, and SARIMABP approaches were employed in present study to model and forecast Rasht urban water consumption using monthly time series for the period 2001‒2008 of urban water consumption in Rasht. The seasonal unit root test was applied to develop the relevant SARIMA model. Results showed that all the seasonal and non-seasonal unit roots are present in all the frequencies in the monthly time series for Rasht urban water consumption. Using a proper filter, the SAIMA patterns were estimated. In a second stage the SARIMA output was used to determine the ANN output and the hybrid SARIMABP structure was accordingly constructed. The values for Rasht urban water consumption predicted by the three models indicated the superiority of the SARIMABP hybrid model as evidenced by the forecast error index of 0.41% obtained for this model. The other two models of SARIMA and ANN were, however, found to yield acceptable results for urban water managers since the forecasting error recorded for them was below 1%.

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM and Artificial Neural Network (ANN

Directory of Open Access Journals (Sweden)

Maria Grazia De Giorgi

2014-08-01

Full Text Available A high penetration of wind energy into the electricity market requires a parallel development of efficient wind power forecasting models. Different hybrid forecasting methods were applied to wind power prediction, using historical data and numerical weather predictions (NWP. A comparative study was carried out for the prediction of the power production of a wind farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM with Wavelet Decomposition (WD were evaluated at different time horizons and compared to hybrid Artificial Neural Network (ANN-based methods. It is acknowledged that hybrid methods based on LS-SVM with WD mostly outperform other methods. A decomposition of the commonly known root mean square error was beneficial for a better understanding of the origin of the differences between prediction and measurement and to compare the accuracy of the different models. A sensitivity analysis was also carried out in order to underline the impact that each input had in the network training process for ANN. In the case of ANN with the WD technique, the sensitivity analysis was repeated on each component obtained by the decomposition.

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"

A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC.

Science.gov (United States)

Khadke, Piyush; Patne, Nita; Singh, Arvind; Shinde, Gulab

2016-01-01

In this article, a novel and accurate scheme for fault detection, classification and fault distance estimation for a fixed series compensated transmission line is proposed. The proposed scheme is based on artificial neural network (ANN) and metal oxide varistor (MOV) energy, employing Levenberg-Marquardt training algorithm. The novelty of this scheme is the use of MOV energy signals of fixed series capacitors (FSC) as input to train the ANN. Such approach has never been used in any earlier fault analysis algorithms in the last few decades. Proposed scheme uses only single end measurement energy signals of MOV in all the 3 phases over one cycle duration from the occurrence of a fault. Thereafter, these MOV energy signals are fed as input to ANN for fault distance estimation. Feasibility and reliability of the proposed scheme have been evaluated for all ten types of fault in test power system model at different fault inception angles over numerous fault locations. Real transmission system parameters of 3-phase 400 kV Wardha-Aurangabad transmission line (400 km) with 40 % FSC at Power Grid Wardha Substation, India is considered for this research. Extensive simulation experiments show that the proposed scheme provides quite accurate results which demonstrate complete protection scheme with high accuracy, simplicity and robustness.

Análisis bibliométrico de la literatura científica publicada en "Ciencia. Revista hispano-americana de ciencias puras y aplicadas" Ciencia, Spanish researchers, Exile, Hispano-America, Spanish civil War, Bibliometrics, Bibliometric analysis

Directory of Open Access Journals (Sweden)

Antonio Pulgarin

2004-01-01

Full Text Available This paper reports the pilot stage of a Project whose objective is to analyse the scientific output of the journal “Ciencia” from its appearance (1940 until its closure (1974. The journal constituted the formal channel for the dissemination of science among Spanish researchers in exile in Hispano-America due to the Spanish civil War (1936-1939. The original articles published in three of the seven sections into which the journal was divided – Modern science (section I, Original communications (section II, and Applied science (section IV – are studied, together with the bibliographical references contained in those articles. The number of articles analysed was 972, and of bibliographical references 14,184.

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

Chiral topological phases from artificial neural networks

Science.gov (United States)

Kaubruegger, Raphael; Pastori, Lorenzo; Budich, Jan Carl

2018-05-01

Motivated by recent progress in applying techniques from the field of artificial neural networks (ANNs) to quantum many-body physics, we investigate to what extent the flexibility of ANNs can be used to efficiently study systems that host chiral topological phases such as fractional quantum Hall (FQH) phases. With benchmark examples, we demonstrate that training ANNs of restricted Boltzmann machine type in the framework of variational Monte Carlo can numerically solve FQH problems to good approximation. Furthermore, we show by explicit construction how n -body correlations can be kept at an exact level with ANN wave functions exhibiting polynomial scaling with power n in system size. Using this construction, we analytically represent the paradigmatic Laughlin wave function as an ANN state.

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

Directory of Open Access Journals (Sweden)

A.K. Gupta

2017-01-01

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

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

Science.gov (United States)

1999-01-01

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

Paris, privileged destination of the Spanish exile (1813-1851: regarding recent historiographical contributions | París, destino privilegiado del exilio español (1813-1851: a propósito de varias aportaciones historiográficas recientes

Directory of Open Access Journals (Sweden)

Rafael Fernández Sirvent

2010-12-01

Full Text Available Paris is a mythical city that has always evoked a special attraction between political and cultural elite. Only a reduced number of Spanish afrancesados (followers of the King Joseph Bonaparte and liberal-minded people that in the XIX century were forced to exile, had the legal possibility of looking for a political refuge –a new homeland in determined cases– in the French capital. The publication of several monographs, articles and biographies regarding this issue during the last decade, has made possible an extraordinary historiographical progress in the knowledge of the characteristics and particularities of the Spanish exile in Paris. The main objective of the present article is to raise awareness of a selection of these works and to connect some of their more relevant contributions to the field. | París es una ciudad mítica que siempre ha despertado un especial poder de atracción entre las élites políticas y culturales. Solo un reducido número de afrancesados y liberales españoles que en el siglo XIX se vieron forzados al exilio, tuvieron la posibilidad legal de buscar refugio político –en ocasiones una nueva patria– en la capital francesa. En la última década, se ha producido un extraordinario avance historiográfico en el conocimiento de las características y particularidades del exilio español en París, gracias a la publicación de varias monografías, artículos y biografías sobre el tema. Este artículo pretende dar a conocer una selección de estos trabajos y conectar algunas de sus principales aportaciones.

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

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Yaojie Yue

2016-11-01

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

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

Index Scriptorium Estoniae

2007-01-01

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

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

Index Scriptorium Estoniae

2016-01-01

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

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.

Assessing the long term impact of phosphorus fertilization on phosphorus loadings using AnnAGNPS.

Science.gov (United States)

Yuan, Yongping; Bingner, Ronald L; Locke, Martin A; Stafford, Jim; Theurer, Fred D

2011-06-01

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

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

Index Scriptorium Estoniae

2009-01-01

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

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)

Koutroumanidis, Theodoros; Ioannou, Konstantinos; Arabatzis, Garyfallos

2009-01-01

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)

The Sacred Object: Anne Carson and Simone Weil

Directory of Open Access Journals (Sweden)

Elizabeth Coles

2014-01-01

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

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"

Vampiros humanizados: análise da obra Interview with the vampire de Anne Rice

OpenAIRE

Patricia Hradec

2014-01-01

Esta dissertação tem por objetivo analisar o romance Interview with the Vampire de Anne Rice que é o primeiro livro dos dez que constituem suas Crônicas Vampirescas . Pretende-se com esta pesquisa demonstrar como os vampiros apresentados por Rice são humanizados. Inicia-se com um estudo histórico sobre os vampiros, tanto lendários quanto literários, depois há um estudo sobre a vida e obra da escritora norte-americana bem como um levantamento das diferenças entre os vampiros de Rice e outros ...

ANN Synthesis Model of Single-Feed Corner-Truncated Circularly Polarized Microstrip Antenna with an Air Gap for Wideband Applications

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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.

Narratifs Médiatiques sur la relation entre le corps et les jeux olympiques dans les années 1890 et 1900

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Fausto Amaro

2016-09-01

Full Text Available Les jeux olympiques se présentées devenus l’habitant de Rio de Janeiro des années 1890 et 1900 comme quelque chose au-delà du sport. Cirque, théâtre et cinéma étaient espaces culturels où ces événements pourraient être assistés, comme les journaux annonçaient. Les Jeux Olympiques du Comité International Olympique ont également été publiés, mais rivalisaient à l’attention du lecteur de Rio avec des jeux non officiels, tels que ceux qui sont détenus à Montevideo en l’année 1907. Compris ce contexte, je présente dans cet article quelques questions concernant le corps idéal dans cette période et son dialogue avec la nouveauté représenté par les jeux olympiques.

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

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Najmeh Sadat Jaddi

Full Text Available Artificial neural networks (ANNs have been employed to solve a broad variety of tasks. The selection of an ANN model with appropriate weights is important in achieving accurate results. This paper presents an optimization strategy for ANN model selection based on the cuckoo search (CS algorithm, which is rooted in the obligate brood parasitic actions of some cuckoo species. In order to enhance the convergence ability of basic CS, some modifications are proposed. The fraction Pa of the n nests replaced by new nests is a fixed parameter in basic CS. As the selection of Pa is a challenging issue and has a direct effect on exploration and therefore on convergence ability, in this work the Pa is set to a maximum value at initialization to achieve more exploration in early iterations and it is decreased during the search to achieve more exploitation in later iterations until it reaches the minimum value in the final iteration. In addition, a novel master-leader-slave multi-population strategy is used where the slaves employ the best fitness function among all slaves, which is selected by the leader under a certain condition. This fitness function is used for subsequent Lévy flights. In each iteration a copy of the best solution of each slave is migrated to the master and then the best solution is found by the master. The method is tested on benchmark classification and time series prediction problems and the statistical analysis proves the ability of the method. This method is also applied to a real-world water quality prediction problem with promising results.

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Science.gov (United States)

Jaddi, Najmeh Sadat; Abdullah, Salwani; Abdul Malek, Marlinda

2017-01-01

Artificial neural networks (ANNs) have been employed to solve a broad variety of tasks. The selection of an ANN model with appropriate weights is important in achieving accurate results. This paper presents an optimization strategy for ANN model selection based on the cuckoo search (CS) algorithm, which is rooted in the obligate brood parasitic actions of some cuckoo species. In order to enhance the convergence ability of basic CS, some modifications are proposed. The fraction Pa of the n nests replaced by new nests is a fixed parameter in basic CS. As the selection of Pa is a challenging issue and has a direct effect on exploration and therefore on convergence ability, in this work the Pa is set to a maximum value at initialization to achieve more exploration in early iterations and it is decreased during the search to achieve more exploitation in later iterations until it reaches the minimum value in the final iteration. In addition, a novel master-leader-slave multi-population strategy is used where the slaves employ the best fitness function among all slaves, which is selected by the leader under a certain condition. This fitness function is used for subsequent Lévy flights. In each iteration a copy of the best solution of each slave is migrated to the master and then the best solution is found by the master. The method is tested on benchmark classification and time series prediction problems and the statistical analysis proves the ability of the method. This method is also applied to a real-world water quality prediction problem with promising results.

Determining degree of roasting in cocoa beans by artificial neural network (ANN)-based electronic nose system and gas chromatography/mass spectrometry (GC/MS).

Science.gov (United States)

Tan, Juzhong; Kerr, William L

2018-08-01

Roasting is a critical step in chocolate processing, where moisture content is decreased and unique flavors and texture are developed. The determination of the degree of roasting in cocoa beans is important to ensure the quality of chocolate. Determining the degree of roasting relies on human specialists or sophisticated chemical analyses that are inaccessible to small manufacturers and farmers. In this study, an electronic nose system was constructed consisting of an array of gas sensors and used to detect volatiles emanating from cocoa beans roasted for 0, 20, 30 and 40 min. The several signals were used to train a three-layer artificial neural network (ANN). Headspace samples were also analyzed by gas chromatography/mass spectrometry (GC/MS), with 23 select volatiles used to train a separate ANN. Both ANNs were used to predict the degree of roasting of cocoa beans. The electronic nose had a prediction accuracy of 94.4% using signals from sensors TGS 813, 826, 822, 830, 830, 2620, 2602 and 2610. In comparison, the GC/MS predicted the degree of roasting with an accuracy of 95.8%. The electronic nose system is able to predict the extent of roasting, as well as a more sophisticated approach using GC/MS. © 2018 Society of Chemical Industry. © 2018 Society of Chemical Industry.

Developing a Hypnotic Relaxation Intervention to Improve Body Image: A Feasibility Study.

Science.gov (United States)

Cieslak, Alison; Elkins, Gary; Banerjee, Tanima; Marsack, Jessica; Hickman, Kimberly; Johnson, Alisa; Henry, Norah; Barton, Debra

2016-11-01

To determine the content, feasibility, and best outcome of a mind-body intervention involving self-directed hypnotic relaxation to target body image.
. A five-week, uncontrolled, unblinded feasibility intervention study.
. Behavioral therapy offices in Ann Arbor, Michigan, and Waco, Texas.
. 10 female breast cancer survivors and 1 breast and gynecologic cancer survivor. 
. Adult women with a history of breast and gynecologic cancer and no major psychiatric history were eligible. The intervention included four face-to-face sessions with a research therapist lasting 40-60 minutes, logged home practice, one telephone check-in call at week 5, and one intervention feedback telephone call to complete the study. Descriptive statistics and paired t-tests were used to test feasibility and content validity.
. Stress from body changes as measured by the Impact of Treatment Scale, sexual function as measured by the Female Sexual Function Index, and sexual self-image as measured by the Sexual Self-Schema Scale for women were the variables of interest.
. The intervention content was confirmed. Changes in scores from the baseline to week 5 suggested that stress from body changes decreased and sexual self-schema and function improved during the intervention. Nine of the 11 women were satisfied with the intervention, and all 11 indicated that their body image improved. 
. Hypnotic relaxation therapy shows promise for improving body image and, in doing so, improving sexual health in this population. Additional testing of this intervention is warranted.
. Hypnotic relaxation therapy is feasible to improve body image and sexual health in women diagnosed with cancer and may be an important intervention that could be offered by nurses and other behavioral therapists.

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

Index Scriptorium Estoniae

2014-01-01

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

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...

Ali, Cunich: Halley's Churches: Halley and the London Queen Anne Churches

Science.gov (United States)

Ali, Jason R.; Cunich, Peter

2005-04-01

Edmond Halley's enormous contribution to science has received much attention. New research adds an intriguing chapter to his story and concerns his hitherto unexplored association with the baroque architectural visionary Nicholas Hawksmoor, and some important Temple-inspired churches that were built in London in the early 1700s. We argue that Christchurch Spitalfields and St Anne's Limehouse, which were both started in the summer of 1714, were aligned exactly eastwards using ``corrected'' magnetic-compass bearings and that Halley influenced or aided Hawksmoor. By this time the men had probably known each other for 30 years and had recently worked together on the Clarendon Building in Oxford. Despite there being more than 1500 years of Chinese and about 500 years of Western compass technology at the time, these probably represent the first constructions planned using a modern-day ``scientific'' technique. The research also throws light on Halley's contended religious position.

Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling.

Science.gov (United States)

Ameer, Kashif; Bae, Seong-Woo; Jo, Yunhee; Lee, Hyun-Gyu; Ameer, Asif; Kwon, Joong-Ho

2017-08-15

Stevia rebaudiana (Bertoni) consists of stevioside and rebaudioside-A (Reb-A). We compared response surface methodology (RSM) and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses. A 5-level 3-factor central composite design was used to optimize microwave-assisted extraction (MAE) to obtain maximum yield of target responses as a function of extraction time (X 1 : 1-5min), ethanol concentration, (X 2 : 0-100%) and microwave power (X 3 : 40-200W). Maximum values of the three output parameters: 7.67% total extract yield, 19.58mg/g stevioside yield, and 15.3mg/g Reb-A yield, were obtained under optimum extraction conditions of 4min X 1 , 75% X 2 , and 160W X 3 . The ANN model demonstrated higher efficiency than did the RSM model. Hence, RSM can demonstrate interaction effects of inherent MAE parameters on target responses, whereas ANN can reliably model the MAE process with better predictive and estimation capabilities. Copyright © 2017. Published by Elsevier Ltd.

Application of Ann for Prediction of Co2+, Cd2+ and Zn2+ Ions Uptake by R. Squarrosus Biomass in Single and Binary Mixtures

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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

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)

Azwan Mat Lazim; Musa Ahmad; Zuriati Zakaria; Mohd Suzeren Jamil; Suria Ramli; Faiz Zainuddin; Mohd Nasir Taib; Mat Nasir Mat Arip

2013-01-01

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)

Modeling and Investigation of the Wear Resistance of Salt Bath Nitrided Aisi 4140 via ANN

Science.gov (United States)

Ekinci, Şerafettin; Akdemir, Ahmet; Kahramanli, Humar

2013-05-01

Nitriding is usually used to improve the surface properties of steel materials. In this way, the wear resistance of steels is improved. We conducted a series of studies in order to investigate the microstructural, mechanical and tribological properties of salt bath nitrided AISI 4140 steel. The present study has two parts. For the first phase, the tribological behavior of the AISI 4140 steel which was nitrided in sulfinuz salt bath (SBN) was compared to the behavior of the same steel which was untreated. After surface characterization using metallography, microhardness and sliding wear tests were performed on a block-on-cylinder machine in which carbonized AISI 52100 steel discs were used as the counter face. For the examined AISI 4140 steel samples with and without surface treatment, the evolution of both the friction coefficient and of the wear behavior were determined under various loads, at different sliding velocities and a total sliding distance of 1000 m. The test results showed that wear resistance increased with the nitriding process, friction coefficient decreased due to the sulfur in salt bath and friction coefficient depended systematically on surface hardness. For the second part of this study, four artificial neural network (ANN) models were designed to predict the weight loss and friction coefficient of the nitrided and unnitrided AISI 4140 steel. Load, velocity and sliding distance were used as input. Back-propagation algorithm was chosen for training the ANN. Statistical measurements of R2, MAE and RMSE were employed to evaluate the success of the systems. The results showed that all the systems produced successful results.

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

Science.gov (United States)

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

2015-05-01

The purpose of this study was to create a modeling management tool for the simulation of extreme flow events under current and future climatic conditions. This tool is a combination of different components and can be applied in complex hydrogeological river basins, where frequent flood and drought phenomena occur. The first component is the statistical analysis of the available hydro-meteorological data. Specifically, principal components analysis was performed in order to quantify the importance of the hydro-meteorological parameters that affect the generation of extreme events. The second component is a prediction-forecasting artificial neural network (ANN) model that simulates, accurately and efficiently, river flow on an hourly basis. This model is based on a methodology that attempts to resolve a very difficult problem related to the accurate estimation of extreme flows. For this purpose, the available measurements (5 years of hourly data) were divided in two subsets: one for the dry and one for the wet periods of the hydrological year. This way, two ANNs were created, trained, tested and validated for a complex Mediterranean river basin in Crete, Greece. As part of the second management component a statistical downscaling tool was used for the creation of meteorological data according to the higher and lower emission climate change scenarios A2 and B1. These data are used as input in the ANN for the forecasting of river flow for the next two decades. The final component is the application of a meteorological index on the measured and forecasted precipitation and flow data, in order to assess the severity and duration of extreme events. Copyright © 2015 Elsevier Ltd. All rights reserved.

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

Directory of Open Access Journals (Sweden)

T. Rajaee

2016-10-01

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

Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM

Science.gov (United States)

Mukherjee, Amritendu; Ramachandran, Parthasarathy

2018-03-01

Prediction of Ground Water Level (GWL) is extremely important for sustainable use and management of ground water resource. The motivations for this work is to understand the relationship between Gravity Recovery and Climate Experiment (GRACE) derived terrestrial water change (ΔTWS) data and GWL, so that ΔTWS could be used as a proxy measurement for GWL. In our study, we have selected five observation wells from different geographic regions in India. The datasets are unevenly spaced time series data which restricts us from applying standard time series methodologies and therefore in order to model and predict GWL with the help of ΔTWS, we have built Linear Regression Model (LRM), Support Vector Regression (SVR) and Artificial Neural Network (ANN). Comparative performances of LRM, SVR and ANN have been evaluated with the help of correlation coefficient (ρ) and Root Mean Square Error (RMSE) between the actual and fitted (for training dataset) or predicted (for test dataset) values of GWL. It has been observed in our study that ΔTWS is highly significant variable to model GWL and the amount of total variations in GWL that could be explained with the help of ΔTWS varies from 36.48% to 74.28% (0.3648 ⩽R2 ⩽ 0.7428) . We have found that for the model GWL ∼ Δ TWS, for both training and test dataset, performances of SVR and ANN are better than that of LRM in terms of ρ and RMSE. It also has been found in our study that with the inclusion of meteorological variables along with ΔTWS as input parameters to model GWL, the performance of SVR improves and it performs better than ANN. These results imply that for modelling irregular time series GWL data, ΔTWS could be very useful.

Comparative ANNs with Different Input Layers and GA-PLS Study for Simultaneous Spectrofluorimetric Determination of Melatonin and Pyridoxine HCl in the Presence of Melatonin’s Main Impurity

Directory of Open Access Journals (Sweden)

Amer M. Alanazi

2013-01-01

Full Text Available Melatonin (MLT has many health implications, therefore it is important to develop specific analytical methods for the determination of MLT in the presence of its main impurity, N-{2-[1-({3-[2-(acetylaminoethyl]-5-methoxy-1H-indol-2-yl}methyl-5-methoxy-1H-indol-3-yl]ethyl}acetaamide (DMLT and pyridoxine HCl (PNH as a co-formulated drug. This work describes simple, sensitive, and reliable four multivariate calibration methods, namely artificial neural network preceded by genetic algorithm (GA-ANN, principal component analysis (PCA-ANN and wavelet transform procedures (WT-ANN as well as partial least squares preceded by genetic algorithm (GA-PLS for the spectrofluorimetric determination of MLT and PNH in the presence of DMLT. Analytical performance of the proposed methods was statistically validated with respect to linearity, accuracy, precision and specificity. The proposed methods were successfully applied for the assay of MLT in laboratory prepared mixtures containing up to 15% of DMLT and in commercial MLT tablets with recoveries of no less than 99.00%. No interference was observed from common pharmaceutical additives and the results compared favorably with those obtained by a reference method.

Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR

Science.gov (United States)

Rahmati, Mehdi

2017-08-01

Developing accurate and reliable pedo-transfer functions (PTFs) to predict soil non-readily available characteristics is one of the most concerned topic in soil science and selecting more appropriate predictors is a crucial factor in PTFs' development. Group method of data handling (GMDH), which finds an approximate relationship between a set of input and output variables, not only provide an explicit procedure to select the most essential PTF input variables, but also results in more accurate and reliable estimates than other mostly applied methodologies. Therefore, the current research was aimed to apply GMDH in comparison with multivariate linear regression (MLR) and artificial neural network (ANN) to develop several PTFs to predict soil cumulative infiltration point-basely at specific time intervals (0.5-45 min) using soil readily available characteristics (RACs). In this regard, soil infiltration curves as well as several soil RACs including soil primary particles (clay (CC), silt (Si), and sand (Sa)), saturated hydraulic conductivity (Ks), bulk (Db) and particle (Dp) densities, organic carbon (OC), wet-aggregate stability (WAS), electrical conductivity (EC), and soil antecedent (θi) and field saturated (θfs) water contents were measured at 134 different points in Lighvan watershed, northwest of Iran. Then, applying GMDH, MLR, and ANN methodologies, several PTFs have been developed to predict cumulative infiltrations using two sets of selected soil RACs including and excluding Ks. According to the test data, results showed that developed PTFs by GMDH and MLR procedures using all soil RACs including Ks resulted in more accurate (with E values of 0.673-0.963) and reliable (with CV values lower than 11 percent) predictions of cumulative infiltrations at different specific time steps. In contrast, ANN procedure had lower accuracy (with E values of 0.356-0.890) and reliability (with CV values up to 50 percent) compared to GMDH and MLR. The results also revealed

Applying of the Artificial Neural Networks (ANN) to Identify and Characterize Sweet Spots in Shale Gas Formations

Science.gov (United States)

Puskarczyk, Edyta

2018-03-01

The main goal of the study was to enhance and improve information about the Ordovician and Silurian gas-saturated shale formations. Author focused on: firstly, identification of the shale gas formations, especially the sweet spots horizons, secondly, classification and thirdly, the accurate characterization of divisional intervals. Data set comprised of standard well logs from the selected well. Shale formations are represented mainly by claystones, siltstones, and mudstones. The formations are also partially rich in organic matter. During the calculations, information about lithology of stratigraphy weren't taken into account. In the analysis, selforganizing neural network - Kohonen Algorithm (ANN) was used for sweet spots identification. Different networks and different software were tested and the best network was used for application and interpretation. As a results of Kohonen networks, groups corresponding to the gas-bearing intervals were found. The analysis showed diversification between gas-bearing formations and surrounding beds. It is also shown that internal diversification in sweet spots is present. Kohonen algorithm was also used for geological interpretation of well log data and electrofacies prediction. Reliable characteristic into groups shows that Ja Mb and Sa Fm which are usually treated as potential sweet spots only partially have good reservoir conditions. It is concluded that ANN appears to be useful and quick tool for preliminary classification of members and sweet spots identification.

Ferréol Gilles, Mamontoff Anne-Marie, ss. Dir., Tourisme et sociétés

Directory of Open Access Journals (Sweden)

Régis Malige

2010-10-01

Full Text Available Le colloque international et pluridisciplinaire organisé en octobre 2008, à l’initiative de l’UFR “Sports, tourisme et hôtellerie” de l’université de Perpignan Via Domitia et du laboratoire de socio-anthropologie (LASA de l’université de Franche-Comté, s’est intéressé aux relations unissant tourisme, loisirs et sociétés. Coordonné par Gilles Ferréol assisté d’Anne-Marie Mamontoff, l’ouvrage, rassemblant des participants appartenant à diverses institutions académiques, regroupe une douzaine d...

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

Science.gov (United States)

1999-01-01

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

Continental visions: Ann Seidman, Reginald H. Green and the economics of African unity in 1960s Ghana

OpenAIRE

Serra, Gerardo

2014-01-01

The paper presents the history of the contribution of two American economists to a radical cause: the establishment of a socialist and politically united Africa. The setting is 1960s Ghana which under Kwame Nkrumah, the man who led the country to independence from British colonial rule, emerged as the epicentre of this Pan-African vision. Ann Seidman and Reginald H. Green became, as members of the research team on 'The Economics of African Unity' established at the University of Ghana in 1963...

A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

OpenAIRE

Patricia Jimeno-Sáez; Javier Senent-Aparicio; Julio Pérez-Sánchez; David Pulido-Velazquez

2018-01-01

Streamflow data are of prime importance to water-resources planning and management, and the accuracy of their estimation is very important for decision making. The Soil and Water Assessment Tool (SWAT) and Artificial Neural Network (ANN) models have been evaluated and compared to find a method to improve streamflow estimation. For a more complete evaluation, the accuracy and ability of these streamflow estimation models was also established separately based on their performance during differe...

Daily reservoir inflow forecasting combining QPF into ANNs model

Science.gov (United States)

Zhang, Jun; Cheng, Chun-Tian; Liao, Sheng-Li; Wu, Xin-Yu; Shen, Jian-Jian

2009-01-01

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.

An Experimental Investigation into the Optimal Processing Conditions for the CO2 Laser Cladding of 20 MnCr5 Steel Using Taguchi Method and ANN

Science.gov (United States)

Mondal, Subrata; Bandyopadhyay, Asish.; Pal, Pradip Kumar

2010-10-01

This paper presents the prediction and evaluation of laser clad profile formed by means of CO2 laser applying Taguchi method and the artificial neural network (ANN). Laser cladding is one of the surface modifying technologies in which the desired surface characteristics of any component can be achieved such as good corrosion resistance, wear resistance and hardness etc. Laser is used as a heat source to melt the anti-corrosive powder of Inconel-625 (Super Alloy) to give a coating on 20 MnCr5 substrate. The parametric study of this technique is also attempted here. The data obtained from experiments have been used to develop the linear regression equation and then to develop the neural network model. Moreover, the data obtained from regression equations have also been used as supporting data to train the neural network. The artificial neural network (ANN) is used to establish the relationship between the input/output parameters of the process. The established ANN model is then indirectly integrated with the optimization technique. It has been seen that the developed neural network model shows a good degree of approximation with experimental data. In order to obtain the combination of process parameters such as laser power, scan speed and powder feed rate for which the output parameters become optimum, the experimental data have been used to develop the response surfaces.

Reviews of recent publications

Directory of Open Access Journals (Sweden)

2009-06-01

Full Text Available Sara Lennox. Cemetery of the Murdered Daughters: Feminism, History, and Ingeborg Bachmann by Kristin T. Vander Lugt Birgit Tautz. Reading and Seeing Ethnic Differences in the Enlightenment: From China to Africa by Susanne Kelley Patrick Greaney. Untimely Beggar. Poverty and Power from Baudelaire to Benjamin by Christine Rinne Philip Payne, Graham Bartram, and Galin Tihanov, eds. A Companion to the Works of Robert Musil by Geoffrey C. Howes Jennifer Willging. Telling Anxiety: Anxious Narration in the Work of Marguerite Duras, Annie Ernaux, Nathalie Sarraute and Anne Hébert by Natalie Edwards Michael Lucey. Never Say I: Sexuality and the First Person in Colette, Gide, and Proust by Elissa Gelfand Anthony Waine. Changing Cultural Tastes. Writers and the Popular in Modern Germany by Katrin Völkner Susan Ireland and Patrice Proulx, eds. Textualizing the Immigrant Experience in Contemporary Quebec by Amy Hubbell Cristina Peri Rossi. State of Exile . Trans. Marilyn Buck. by Reina Ruiz

Prediction of size-fractionated airborne particle-bound metals using MLR, BP-ANN and SVM analyses.

Science.gov (United States)

Leng, Xiang'zi; Wang, Jinhua; Ji, Haibo; Wang, Qin'geng; Li, Huiming; Qian, Xin; Li, Fengying; Yang, Meng

2017-08-01

Size-fractionated heavy metal concentrations were observed in airborne particulate matter (PM) samples collected from 2014 to 2015 (spanning all four seasons) from suburban (Xianlin) and industrial (Pukou) areas in Nanjing, a megacity of southeast China. Rapid prediction models of size-fractionated metals were established based on multiple linear regression (MLR), back propagation artificial neural network (BP-ANN) and support vector machine (SVM) by using meteorological factors and PM concentrations as input parameters. About 38% and 77% of PM 2.5 concentrations in Xianlin and Pukou, respectively, were beyond the Chinese National Ambient Air Quality Standard limit of 75 μg/m 3 . Nearly all elements had higher concentrations in industrial areas, and in winter among the four seasons. Anthropogenic elements such as Pb, Zn, Cd and Cu showed larger percentages in the fine fraction (ø≤2.5 μm), whereas the crustal elements including Al, Ba, Fe, Ni, Sr and Ti showed larger percentages in the coarse fraction (ø > 2.5 μm). SVM showed a higher training correlation coefficient (R), and lower mean absolute error (MAE) as well as lower root mean square error (RMSE), than MLR and BP-ANN for most metals. All the three methods showed better prediction results for Ni, Al, V, Cd and As, whereas relatively poor for Cr and Fe. The daily airborne metal concentrations in 2015 were then predicted by the fully trained SVM models and the results showed the heaviest pollution of airborne heavy metals occurred in December and January, whereas the lightest pollution occurred in June and July. Copyright © 2017 Elsevier Ltd. All rights reserved.

Shape space figure-8 solution of three body problem with two equal masses

Science.gov (United States)

Yu, Guowei

2017-06-01

In a preprint by Montgomery (https://people.ucsc.edu/~rmont/Nbdy.html), the author attempted to prove the existence of a shape space figure-8 solution of the Newtonian three body problem with two equal masses (it looks like a figure 8 in the shape space, which is different from the famous figure-8 solution with three equal masses (Chenciner and Montgomery 2000 Ann. Math. 152 881-901)). Unfortunately there is an error in the proof and the problem is still open. Consider the α-homogeneous Newton-type potential, 1/rα, using action minimization method, we prove the existence of this solution, for α \\in (1, 2) ; for α=1 (the Newtonian potential), an extra condition is required, which unfortunately seems hard to verify at this moment.

Comparison of ANN and SVM for classification of eye movements in EOG signals

Science.gov (United States)

Qi, Lim Jia; Alias, Norma

2018-03-01

Nowadays, electrooculogram is regarded as one of the most important biomedical signal in measuring and analyzing eye movement patterns. Thus, it is helpful in designing EOG-based Human Computer Interface (HCI). In this research, electrooculography (EOG) data was obtained from five volunteers. The (EOG) data was then preprocessed before feature extraction methods were employed to further reduce the dimensionality of data. Three feature extraction approaches were put forward, namely statistical parameters, autoregressive (AR) coefficients using Burg method, and power spectral density (PSD) using Yule-Walker method. These features would then become input to both artificial neural network (ANN) and support vector machine (SVM). The performance of the combination of different feature extraction methods and classifiers was presented and analyzed. It was found that statistical parameters + SVM achieved the highest classification accuracy of 69.75%.

24 weeks of Pilates-aerobic and educative training to improve body fat mass in elderly Serbian women

Directory of Open Access Journals (Sweden)

Rutjes AWS

2014-04-01

Full Text Available Anne WS Rutjes,1 Marcello Di Nisio2,31Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; 2Department of Medical, Oral, and Biotechnological Sciences, University G D'Annunzio of Chieti-Pescara, Chieti, Italy; 3Department of Vascular Medicine, Academic Medical Center, Amsterdam, the NetherlandsWe read with interest the article by Ruiz-Montero et al, in which the authors used a before-and-after study design to examine changes in body composition (fat mass and lean body mass related to an aerobic-Pilates program in elderly Serbian women.1 The authors concluded that "a combined program of aerobic and Pilates, carried out under the supervision of an instructor, at least twice a week, produces health benefits in functionally independent women over the age of 60". This conclusion is overly optimistic and not supported by the evidence provided. View original paper by Ruiz-Montero and colleagues.

Prediction of the Effect of Using Stone Column in Clayey Soil on the Behavior of Circular Footing by ANN Model

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Omar Khaleel Ismael Al-Kubaisi

2018-05-01

Full Text Available Shallow foundations are usually used for structures with light to moderate loads where the soil underneath can carry them. In some cases, soil strength and/or other properties are not adequate and require improvement using one of the ground improvement techniques. Stone column is one of the common improvement techniques in which a column of stone is installed vertically in clayey soils. Stone columns are usually used to increase soil strength and to accelerate soil consolidation by acting as vertical drains. Many researches have been done to estimate the behavior of the improved soil. However, none of them considered the effect of stone column geometry on the behavior of the circular footing. In this research, finite element models have been conducted to evaluate the behavior of a circular footing with different stone column configurations. Moreover, an Artificial Neural Network (ANN model has been generated for predicting these effects. The results showed a reduction in the bending moment, the settlement, and the vertical stresses with the increment of the stone column length, while both the horizontal stress and the shear force were increased. ANN model showed a good relationship between the predicted and the calculated results.

Kirjanduslikest kontaktidest läbi raudse eesriide / Literary contacts through the iron curtain

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Marin Laak

2016-09-01

Full Text Available The article deals with the relationship between the literature of the Estonian diaspora in the West and Soviet Estonia during the 1960s, and explores the possibility, from the literary historiographical perspective, of integrating the two bodies of Estonian literature. Near the end of The Second World War close to 70,000 Estonians fled their homeland, fearing Soviet repression; among them were numerous members of the academic and artistic intelligentsia as well as eminent poets and writers. By the late 1940s national organizations, publications and other activities were already well underway in the displaced persons camps. During the 1950s, Estonian exiles who settled in Sweden, Canada, United States, and elsewhere in the West quickly formed national cultural centres, publishing houses and numerous organizations that helped maintain their national and cultural identity. The centre of literary activity in the West was Sweden, which most Estonian writers had chosen as their new home. The Estonian Writers’s Co-operative publishing house, established in Lund in 1950, started the mail-order distribution of Estonian literature throughout the world; elsewhere, the publisher Orto operated in Toronto. While no propaganda-free literature or literature of any artistic merit was published in the 1940s and 1950s in Estonia during the Soviet occupation, exile literature flourished. Then, the Khrushchev Thaw brought about changes to Soviet society in the late 1950s. As their world became more free, a new generation of talented young poets emerged who generated innovations in poetry and modernized literature. This article maps literary contacts between the Estonian homeland and her exiles, and, using archival material, focuses on personal contacts among the literati during the 1960s. Literary historiography began investigating the possibility of treating Estonian literature in the homeland and in the West as one body of literature, when, after a 45-year

[Study of building quantitative analysis model for chlorophyll in winter wheat with reflective spectrum using MSC-ANN algorithm].

Science.gov (United States)

Liang, Xue; Ji, Hai-yan; Wang, Peng-xin; Rao, Zhen-hong; Shen, Bing-hui

2010-01-01

Preprocess method of multiplicative scatter correction (MSC) was used to reject noises in the original spectra produced by the environmental physical factor effectively, then the principal components of near-infrared spectroscopy were calculated by nonlinear iterative partial least squares (NIPALS) before building the back propagation artificial neural networks method (BP-ANN), and the numbers of principal components were calculated by the method of cross validation. The calculated principal components were used as the inputs of the artificial neural networks model, and the artificial neural networks model was used to find the relation between chlorophyll in winter wheat and reflective spectrum, which can predict the content of chlorophyll in winter wheat. The correlation coefficient (r) of calibration set was 0.9604, while the standard deviation (SD) and relative standard deviation (RSD) was 0.187 and 5.18% respectively. The correlation coefficient (r) of predicted set was 0.9600, and the standard deviation (SD) and relative standard deviation (RSD) was 0.145 and 4.21% respectively. It means that the MSC-ANN algorithm can reject noises in the original spectra produced by the environmental physical factor effectively and set up an exact model to predict the contents of chlorophyll in living leaves veraciously to replace the classical method and meet the needs of fast analysis of agricultural products.

Application of ANNS in tube CHF prediction: effect on neuron number in hidden layer

International Nuclear Information System (INIS)

Han, L.; Shan, J.; Zhang, B.

2004-01-01

Prediction of the Critical Heat Flux (CHF) for upward flow of water in uniformly heated vertical round tube is studied with Artificial Neuron Networks (ANNs) method utilizing different neuron number in hidden layers. This study is based on thermal equilibrium conditions. The neuron number in hidden layers is chosen to vary from 5 to 30 with the step of 5. The effect due to the variety of the neuron number in hidden layers is analyzed. The analysis shows that the neuron number in hidden layers should be appropriate, too less will affect the prediction accuracy and too much may result in abnormal parametric trends. It is concluded that the appropriate neuron number in two hidden layers should be [15 15]. (authors)

Africa and the Arab Spring: A New Era of Democratic Expectations

Science.gov (United States)

2011-11-01

robbery or theft. Journalists have been jailed for writing pieces that criticize a president, but also reporting on corporate tax evasion or the...corruption or forced into exile. Such was the fate of leaders in Argentina, Bolivia, Brazil , Peru, the Philippines, and Uruguay. 45 Africa and the Arab...other bodies should be avoided . This significantly enhances the leverage of the REC while fostering unanimity of international action — a highly potent

Lääne-Virumaad kimbutab spetsialistipõud, töötajate eest hoolitsetakse aga ülihästi / Anne Nõgu, Rainer Miltop ; interv. Tiina Saar

Index Scriptorium Estoniae

Nõgu, Anne

2008-01-01

Rakveres asuva Art Cafe omanik Anne Nõgu kohviku juhtimisest ning endast kui tööandjast. Vt. samas: Õmblusettevõttest turu nõudmisel multitegijaks. Küsimustele vastab Multi Margeri juht Rainer Miltop; Piimatööstus paistab silma stabiilsusega.

Exploring one-particle orbitals in large many-body localized systems

Science.gov (United States)

Villalonga, Benjamin; Yu, Xiongjie; Luitz, David J.; Clark, Bryan K.

2018-03-01

Strong disorder in interacting quantum systems can give rise to the phenomenon of many-body localization (MBL), which defies thermalization due to the formation of an extensive number of quasilocal integrals of motion. The one-particle operator content of these integrals of motion is related to the one-particle orbitals (OPOs) of the one-particle density matrix and shows a strong signature across the MBL transition as recently pointed out by Bera et al. [Phys. Rev. Lett. 115, 046603 (2015), 10.1103/PhysRevLett.115.046603; Ann. Phys. 529, 1600356 (2017), 10.1002/andp.201600356]. We study the properties of the OPOs of many-body eigenstates of an MBL system in one dimension. Using shift-and-invert MPS, a matrix product state method to target highly excited many-body eigenstates introduced previously [Phys. Rev. Lett. 118, 017201 (2017), 10.1103/PhysRevLett.118.017201], we are able to obtain accurate results for large systems of sizes up to L =64 . We find that the OPOs drawn from eigenstates at different energy densities have high overlap and their occupations are correlated with the energy of the eigenstates. Moreover, the standard deviation of the inverse participation ratio of these orbitals is maximal at the nose of the mobility edge. Also, the OPOs decay exponentially in real space, with a correlation length that increases at low disorder. In addition, we find that the probability distribution of the strength of the large-range coupling constants of the number operators generated by the OPOs approach a log-uniform distribution at strong disorder.

De exiliados a migrantes… Una aproximación a la experiencia migratoria de exiliados políticos chilenos en Argentina

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Gimena Perret

2015-03-01

Full Text Available This paper aims to present some preliminary hypotheses resulting from the doctoral research we have carried out on the migratrory experience of Chilean political exiles in Argentina. We are interested in seeing how the fact that many of them did not return home from exile after the end of the Pinochet dictatorship (1973-1990 impacted political and social organization in our country. We presume that this phenomenon has produced a kind of displacement of their self-representation from exiles to migrants that makes it possible to acknowledge the migratory dimension of exile and thereby constitutes a new type of political being that is binationally committed to transnational political rights.

Designing the input vector to ANN-based models for short-term load forecast in electricity distribution systems

International Nuclear Information System (INIS)

Santos, P.J.; Martins, A.G.; Pires, A.J.

2007-01-01

The present trend to electricity market restructuring increases the need for reliable short-term load forecast (STLF) algorithms, in order to assist electric utilities in activities such as planning, operating and controlling electric energy systems. Methodologies such as artificial neural networks (ANN) have been widely used in the next hour load forecast horizon with satisfactory results. However, this type of approach has had some shortcomings. Usually, the input vector (IV) is defined in a arbitrary way, mainly based on experience, on engineering judgment criteria and on concern about the ANN dimension, always taking into consideration the apparent correlations within the available endogenous and exogenous data. In this paper, a proposal is made of an approach to define the IV composition, with the main focus on reducing the influence of trial-and-error and common sense judgments, which usually are not based on sufficient evidence of comparative advantages over previous alternatives. The proposal includes the assessment of the strictly necessary instances of the endogenous variable, both from the point of view of the contiguous values prior to the forecast to be made, and of the past values representing the trend of consumption at homologous time intervals of the past. It also assesses the influence of exogenous variables, again limiting their presence at the IV to the indispensable minimum. A comparison is made with two alternative IV structures previously proposed in the literature, also applied to the distribution sector. The paper is supported by a real case study at the distribution sector. (author)

A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data

Directory of Open Access Journals (Sweden)

Bighnaraj Naik

2018-01-01

Full Text Available All the higher order ANNs (HONNs including functional link ANN (FLANN are sensitive to random initialization of weight and rely on the learning algorithms adopted. Although a selection of efficient learning algorithms for HONNs helps to improve the performance, on the other hand, initialization of weights with optimized weights rather than random weights also play important roles on its efficiency. In this paper, the problem solving approach of the teaching learning based optimization (TLBO along with learning ability of the gradient descent learning (GDL is used to obtain the optimal set of weight of FLANN learning model. TLBO does not require any specific parameters rather it requires only some of the common independent parameters like number of populations, number of iterations and stopping criteria, thereby eliminating the intricacy in selection of algorithmic parameters for adjusting the set of weights of FLANN model. The proposed TLBO-FLANN is implemented in MATLAB and compared with GA-FLANN, PSO-FLANN and HS-FLANN. The TLBO-FLANN is tested on various 5-fold cross validated benchmark data sets from UCI machine learning repository and analyzed under the null-hypothesis by using Friedman test, Holm’s procedure and post hoc ANOVA statistical analysis (Tukey test & Dunnett test.

Nouveaux formats, nouvelles images : les expériences des années cinquante

OpenAIRE

Berthomé, Jean-Pierre

2013-01-01

Le cinéma américain ne se porte pas bien, en ce début des années cinquante. Après l’euphorie d’une courte période qui a vu ses recettes culminer en 1946 avec 90 millions d’entrées par semaine, la désaffection du public a commencé à se manifester, accélérée par l’obligation faite aux grands studios de se séparer de leurs circuits de cinémas. En 1950, les entrées sont tombées à 60 millions par semaine. Il n’y en aura plus que 46 en 1953, 40 en 1960. Parallèlement, les 14 000 postes de télévisio...

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

DEFF Research Database (Denmark)

Elias, Camelia

2013-01-01

In this paper I draw a concrete line from shamanism to confessional poetry. I’m interested in looking at how the cathartic function of confessional writing is even stronger when passed through the traditional shamanic hole that leads to experiencing the underworld of the unconscious. I want...... to argue that both Adrienne Rich and Anne Sexton manipulate with visualization techniques in their symbolic imagery in order to create an atmosphere that is akin to a shamanic journey. The poetic examples that I want to discuss demonstrate how the “language of the suicides” (Sexton) and “the thing itself...

“Rather More than One-Third Had No Jewish Blood”: American Progressivism and German-Jewish Cosmopolitanism at the New School for Social Research, 1933–1939

Directory of Open Access Journals (Sweden)

Daniel Bessner

2012-03-01

Full Text Available The New School for Social Research’s University in Exile accepted more German and European exiled intellectuals than any other American institution of higher education. This paper argues that transnational, cosmopolitan ideological and interest-based affinities shared by left-leaning American progressives and German-Jewish intellectuals enabled the predominantly Jewish University in Exile to become a vibrant intellectual space accepted by the community of largely anti-Semitic American academics. These affinities also illuminate why, despite the fact that the émigrés’ exile was in large part the result of National Socialist hatred of Jews, Alvin Johnson (the founder of the University in Exile and the faculty members that comprised it seldom discussed the University’s Jewish demographics. The Jewish faculty members ignored the relationship between their ethnicity and exile because to focus on it would have been to admit that the cosmopolitan project they had embraced in Central Europe had failed. Johnson ignored the faculty’s Jewish heritage for two reasons. First, he endorsed a cosmopolitan American nationalism. Second, he understood that the generally anti-Semitic community of American academics would have rejected the University in Exile if he stressed the faculty’s Jewishness. In ignoring the University in Exile’s Jewish demographics, Johnson and the University’s faculty successfully adhered to a strategy designed to foster the exiles’ entrance into the American intellectual community. Thus, while cosmopolitanism failed in Germany and Central Europe, the exiles’ later influence on the American academy indicates that it partially succeeded in the United States.

Understanding Elián : the politics of childhood in Miami and Havana, 1959-1962

OpenAIRE

Casavantes Bradford, Anita

2011-01-01

This dissertation examines the centrality of symbolic and actual children to the transnational processes that propelled the 1959 Cuban Revolution and the subsequent formation of the US resident Cuban exile community. It argues that the bodies and symbolic representations of children were pressed into "nation-making" service by a Revolution that sought to fulfill Cubans' frustrated dreams of democratic governance, social equality, and national autonomy; however, as it turned swiftly towards so...

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

Science.gov (United States)

1999-01-01

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

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)

Abdeen, Mostafa A. M.; Abdin, Alla E.

2007-01-01

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

Trente années qui ébranlèrent la physique histoire de la théorie quantique

CERN Document Server

Gamow, George

1968-01-01

G. Gamow, dans cet ouvrage, déploie une fois encore ses qualités d'historien, de vulgarisateur et d'homme d'esprit. L'"histoire de la théorie quantique" raconte la naissance de la physique moderne au cours des trente premières années du siècle, en nous guidant ainsi à travers cette galerie de portraits où les grands noms de la physique sont présentés, par les textes, les photographies et les croquis, sous leur aspect le moins académique.

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)

Enhancement of RWSN Lifetime via Firework Clustering Algorithm Validated by ANN

Directory of Open Access Journals (Sweden)

Ahmad Ali

2018-03-01

Full Text Available Nowadays, wireless power transfer is ubiquitously used in wireless rechargeable sensor networks (WSNs. Currently, the energy limitation is a grave concern issue for WSNs. However, lifetime enhancement of sensor networks is a challenging task need to be resolved. For addressing this issue, a wireless charging vehicle is an emerging technology to expand the overall network efficiency. The present study focuses on the enhancement of overall network lifetime of the rechargeable wireless sensor network. To resolve the issues mentioned above, we propose swarm intelligence based hard clustering approach using fireworks algorithm with the adaptive transfer function (FWA-ATF. In this work, the virtual clustering method has been applied in the routing process which utilizes the firework optimization algorithm. Still now, an FWA-ATF algorithm yet not applied by any researcher for RWSN. Furthermore, the validation study of the proposed method using the artificial neural network (ANN backpropagation algorithm incorporated in the present study. Different algorithms are applied to evaluate the performance of proposed technique that gives the best results in this mechanism. Numerical results indicate that our method outperforms existing methods and yield performance up to 80% regarding energy consumption and vacation time of wireless charging vehicle.

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.

Exile, exilic consciousness and the poetic imagination in Tanure ...

African Journals Online (AJOL)

Tydskrif vir letterkunde. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 48, No 1 (2011) >. Log in or Register to get access to full text downloads.

Wavelet transform and ANNs for detection and classification of power signal disturbances

International Nuclear Information System (INIS)

Memon, A.P.; Uqaili, M.A.; Memon, Z.A.

2012-01-01

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 even under a noisy environment very efficiently with an average classification accuracy of 96%. (author)

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

International Nuclear Information System (INIS)

Foley, R.D.; Floyd, L.M.

1990-03-01

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 232 Th, 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

Die betekenis van die konsep land in die slot van die boek Amos

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J.L. Helberg

1999-08-01

Full Text Available The meaning of the concept of land in the epilogue of the book of Amos During the exilic and post-exilic eras the concept of land underwent a shift of meaning: land also acquired the meaning of city (and temple. If the epilogue of Amos is regarded as exilic or post-exilic, as most scholars think, one can expect that city rather than land shall be emphasized in the epilogue. The opposite, however, is true. This article tries to ascertain whether the concept “land” has a different place, value or meaning in the epilogue of Amos than in the rest of the book and whether this assumption casts any light on the relation between the different parts. The conclusion arrived at implies that the term used for land in the epilogue has a broader meaning than the traditional one attached to it by Israel. The epilogue makes a breakthrough to a universal approach pictured in eschatological colours but rooted in history. A correction is made to a “Zion-theology” and emphasis is laid on the land of the promise which is linked with the (true covenantal relation with Yahweh implied in the terms “my people” and “your God”. Whether dated as pre-exilic, exilix or post-exilic, the epilogue is in harmony with the essence of the rest of the book.

Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting

Directory of Open Access Journals (Sweden)

Yi Xiao

2013-02-01

Full Text Available Stock e-exchange prices forecasting is an important financial problem that is receiving increasing attention. This study proposes a novel three-stage nonlinear ensemble model. In the proposed model, three different types of neural-network based models, i.e. Elman network, generalized regression neural network (GRNN and wavelet neural network (WNN are constructed by three non-overlapping training sets and are further optimized by improved particle swarm optimization (IPSO. Finally, a neural-network-based nonlinear meta-model is generated by learning three neural-network based models through support vector machines (SVM neural network. The superiority of the proposed approach lies in its flexibility to account for potentially complex nonlinear relationships. Three daily stock indices time series are used for validating the forecasting model. Empirical results suggest the ensemble ANNs-PSO-GA approach can significantly improve the prediction performance over other individual models and linear combination models listed in this study.

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

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Ganchimeg Ganbold

2017-03-01

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

Insurgency and Counterinsurgency in Central America

Science.gov (United States)

1983-06-01

broadly based. In Guatemala, the revolution is at a different stage, and in Honduras, it is an embryo , although the condition? "üJ" ’"MwMfc Jh...who declared "The people of this continent alone have, the right to decide their own destiny ," and by President Theodore Roosevelt in 1904 when he...becoming an embryo government-in-exile. Although in many respects an international propaganda organization, the FDR does have one Important body--the

Geometric characterization for the least Lagrangian action of n-body problems

Institute of Scientific and Technical Information of China (English)

ZHANG; Shiqing

2001-01-01

［1］Manev, G., La gravitation et l'énergie au zéro, Comptes Rendus, 924, 78: 259.［2］Diacu, F. N., Near-collision dynamics for particle systems with quasihomogeneous potentials, J. of Diff. Equ., 996, 28: 58.［3］Ambrosetti, A., Coti Zelati, V., Periodic Solutions of Singular Lagrangian Systems, Basel: Birkhuser, 993.［4］Arnold, V., Kozlov, V., Neishtadt, A., Dynamical Systems (iii): Mathematical Aspects of Classical and Celestial Mechanics, Berlin: Springer-Verlag, 988.［5］Chenciner, A., Desolneux, N., Minima de l'intégrale d'action et équilibres relatifs de n corps, C R Acad. Sci. Paris, serie I, 998, 326: 209.［6］Coti Zelati, V., The periodic solutions of n-body type problems, Ann IHP Anal nonlinéaire, 990, 7: 477.［7］Euler, L., De motu rectilineo trium corprum se mutuo attrahentium, Novi. Comm. Acad. Sci. Imp. Petropll, 767: 45.［8］Gordon, W., A minimizing property of Keplerian orbits, Amer. J. Math., 977, 99: 96.［9］Lagrange, J., Essai sur le problé me des trois corps, 772, Ouvres, 783, 3: 229.［10］Long, Y., Zhang, S. Q., Geometric characterization for variational minimization solutions of the 3-body problem, Chinese Science Bulletin, 999, 44(8): 653.［11］Long, Y., Zhang, S. Q., Geometric characterization for variational minimization solutions of the 3-body problem with fixed energy, J. of Diff. Equ., 2000, 60: 422.［12］Meyer, K., Hall, G., Introduction to Hamiltonian systems and the n-body problems, Berlin: Springer-Verlag,992.［13］Serra, E., Terracini, S., Collisionless periodic solutions to some three-body problems, Arch. Rational Mech. Anal., 992, 20: 305.［14］Siegle, C., Moser, J., Lectures on Celestial Mechanics, Berlin: Springer-Verlag, 97.［15］Wintner, A., Analytical Foundations of Celestial Mechanics, Princeton: Princeton University Press, 94.［16］Hardy, G., Littlewood, J., Pólya, G., Inequalities, 2nd ed., Cambridge: Combridge University Press, 952.

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

Heave motion prediction of a large barge in random seas by using artificial neural network

Science.gov (United States)

Lee, Hsiu Eik; Liew, Mohd Shahir; Zawawi, Noor Amila Wan Abdullah; Toloue, Iraj

2017-11-01

This paper describes the development of a multi-layer feed forward artificial neural network (ANN) to predict rigid heave body motions of a large catenary moored barge subjected to multi-directional irregular waves. The barge is idealized as a rigid plate of finite draft with planar dimensions 160m (length) and 100m (width) which is held on station using a six point chain catenary mooring in 50m water depth. Hydroelastic effects are neglected from the physical model as the chief intent of this study is focused on large plate rigid body hydrodynamics modelling using ANN. Even with this assumption, the computational requirements for time domain coupled hydrodynamic simulations of a moored floating body is considerably costly, particularly if a large number of simulations are required such as in the case of response based design (RBD) methods. As an alternative to time consuming numerical hydrodynamics, a regression-type ANN model has been developed for efficient prediction of the barge's heave responses to random waves from various directions. It was determined that a network comprising of 3 input features, 2 hidden layers with 5 neurons each and 1 output was sufficient to produce acceptable predictions within 0.02 mean squared error. By benchmarking results from the ANN with those generated by a fully coupled dynamic model in OrcaFlex, it is demonstrated that the ANN is capable of predicting the barge's heave responses with acceptable accuracy.

The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly

Science.gov (United States)

2013-01-01

Background This study aims to improve accuracy of Bioelectrical Impedance Analysis (BIA) prediction equations for estimating fat free mass (FFM) of the elderly by using non-linear Back Propagation Artificial Neural Network (BP-ANN) model and to compare the predictive accuracy with the linear regression model by using energy dual X-ray absorptiometry (DXA) as reference method. Methods A total of 88 Taiwanese elderly adults were recruited in this study as subjects. Linear regression equations and BP-ANN prediction equation were developed using impedances and other anthropometrics for predicting the reference FFM measured by DXA (FFMDXA) in 36 male and 26 female Taiwanese elderly adults. The FFM estimated by BIA prediction equations using traditional linear regression model (FFMLR) and BP-ANN model (FFMANN) were compared to the FFMDXA. The measuring results of an additional 26 elderly adults were used to validate than accuracy of the predictive models. Results The results showed the significant predictors were impedance, gender, age, height and weight in developed FFMLR linear model (LR) for predicting FFM (coefficient of determination, r2 = 0.940; standard error of estimate (SEE) = 2.729 kg; root mean square error (RMSE) = 2.571kg, P < 0.001). The above predictors were set as the variables of the input layer by using five neurons in the BP-ANN model (r2 = 0.987 with a SD = 1.192 kg and relatively lower RMSE = 1.183 kg), which had greater (improved) accuracy for estimating FFM when compared with linear model. The results showed a better agreement existed between FFMANN and FFMDXA than that between FFMLR and FFMDXA. Conclusion When compared the performance of developed prediction equations for estimating reference FFMDXA, the linear model has lower r2 with a larger SD in predictive results than that of BP-ANN model, which indicated ANN model is more suitable for estimating FFM. PMID:23388042

ANN and RSM modelling of antioxidant characteristics of kombucha fermented milk beverages with peppermint

Directory of Open Access Journals (Sweden)

Jasmina Vitas

2018-01-01

Full Text Available Antioxidant activity to stable DPPH radical (AADPPH and unstable hydroxyl radicals (AA.OH and nutraceuticals (monounsaturated fatty acids (MUFAs, polyunsaturated fatty acids (PUFAs and ascorbic acid content of kombucha fermented milks with peppermint (KFM-P were modelled and optimised. Beverages were produced by the addition of 10 % of kombucha peppermint inoculum to the milk containing 0.8, 1.6 and 2.8 % milk fat at 37, 40 and 43 °C. Response surface methodology (RSM indicated opposite response surfaces for AADPPH and AA.OH PUFAs and ascorbic acid, as most significant and influential factors, were included in graphical optimization and gave the working region for obtaining products of highest antioxidant quality: lower temperatures and milk fat up to 1.8 %; higher temperatures and milk fat of maximum 1.6 %. ANN modelling of antioxidant characteristics of kombucha fermented milk beverages with peppermint was, as expected, more accurate than RSM.

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

Index Scriptorium Estoniae

2009-01-01

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

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.

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.

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

Science.gov (United States)

Kawashima, Keiko

2011-01-01

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

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

Science.gov (United States)

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

2014-05-01

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

Healing war wounds and perfuming exile: the use of vegetal, animal, and mineral products for perfumes, cosmetics, and skin healing among Sahrawi refugees of Western Sahara

Directory of Open Access Journals (Sweden)

Volpato Gabriele

2012-12-01

Full Text Available Abstract Background Over the past decade, there has been growing interest within ethnobiology in the knowledge and practices of migrating people. Within this, scholars have given relatively less attention to displaced people and refugees: to the loss, maintenance, and adaptation of refugees’ ethnobiological knowledge, and to its significance for refugees’ wellbeing. This study focuses on cosmetics and remedies used to heal skin afflictions that are traditionally used by Sahrawi refugees displaced in South Western Algerian refugee camps. Methods The research methods included a structured survey carried out with 37 refugee households, semi-structured interviews with 77 refugees, 24 retrospective interviews with refugees and other knowledgeable informants, and a voucher specimen collection of the plants and products cited. Results We recorded the use of 55 plant species, nine animal species, and six mineral products used within the three main use categories discussed in this paper: 1 Remedies for health issues that are typical of the desert environment where the Sahrawi once lived as nomads and now live as refugees (e.g. eye afflictions; 2 Remedies for wounds that are influenced by the Sahrawi’s recent history of guerrilla warfare; and 3 Cosmetics and products used for body care, decoration and perfuming (e.g. hair care, teeth cleansing, henna use and for aromatizing the air inside of tents and which are widely used in everyday life and social practices. Conclusions We discuss the changes that have occurred in the patterns of use and procurement of these products with exile and sedentarization in refugee camps, and conclude that refugees are not simply passive recipients of national and international aid, but rather struggle to maintain and recover their traditional ethnobiological practices in exile. Finally, we suggest further research into the ethnobiological practices and knowledge of displaced populations. Resumen Sanando las heridas de