66 resultados para Towards Seamless Integration of Geoscience Models and Data


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Strikes provide a current, fresh but also a seldom-addressed issue to study from economic sciences perspective. This study provides to filling this research gap by trying to identify attitudes towards strikes that can be found inside organizations. The research problem this study then sets out to answer is: “What kinds of attitudes exist inside organizations towards industrial actions and how attitudes vary between labour, management and human resources?” This study has been planned with a view to test how qualitative attitudinal research, as a method, is suited to studying a phenomenon such as strike. At the heart of this research approach lies an assumption linked to rhetoric social psychology, that attitude is a phenomenon that can be identified in argumentation. For this research 10 semi-structured interviews in 4 organizations were conducted utilizing statements and pictures as stimulants for discussion. The material was transcribed and analysed following the two levels, categorical and interpretive, demanded by the chosen method. Altogether five attitudes were discovered; three of them negative, one indifferent and one positive by nature. The negative attitudes of unfairness, failure and personification towards strikes represented the side of strikes that was perhaps the most anticipated, portraying the contradictions between employees and employer. The attitude of ordinariness, which portrayed indifference, and the positive attitude of change however, were more unanticipated findings. They reflect shared understanding and trust between conflict parties. The utilization of qualitative attitudinal approach to study strikes was deemed successful. The results of this study support prior literature on workplace conflicts for example in regards of the definition of conflict and typologies conflicts. In addition the multifaceted nature of strikes can be perceived as one statement supported by this study. It arises in the nature of the attitudes, the diversity of discussion themes during the interviews as well as in the extent of possible theories to apply.

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In this master’s thesis, wind speeds and directions were modeled with the aim of developing suitable models for hourly, daily, weekly and monthly forecasting. Artificial Neural Networks implemented in MATLAB software were used to perform the forecasts. Three main types of artificial neural network were built, namely: Feed forward neural networks, Jordan Elman neural networks and Cascade forward neural networks. Four sub models of each of these neural networks were also built, corresponding to the four forecast horizons, for both wind speeds and directions. A single neural network topology was used for each of the forecast horizons, regardless of the model type. All the models were then trained with real data of wind speeds and directions collected over a period of two years in the municipal region of Puumala in Finland. Only 70% of the data was used for training, validation and testing of the models, while the second last 15% of the data was presented to the trained models for verification. The model outputs were then compared to the last 15% of the original data, by measuring the mean square errors and sum square errors between them. Based on the results, the feed forward networks returned the lowest generalization errors for hourly, weekly and monthly forecasts of wind speeds; Jordan Elman networks returned the lowest errors when used for forecasting of daily wind speeds. Cascade forward networks gave the lowest errors when used for forecasting daily, weekly and monthly wind directions; Jordan Elman networks returned the lowest errors when used for hourly forecasting. The errors were relatively low during training of the models, but shot up upon simulation with new inputs. In addition, a combination of hyperbolic tangent transfer functions for both hidden and output layers returned better results compared to other combinations of transfer functions. In general, wind speeds were more predictable as compared to wind directions, opening up opportunities for further research into building better models for wind direction forecasting.

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

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The emergence of the idea of multiculturalism in Swedish public discourse and social science in the latter half of the 1960s and introduction of official multiculturalism in 1975 constituted a major intellectual and political shift in the post-war history of Sweden. The ambition of the 1975 immigrant and minority policy to enable the preservation of ethno-cultural minorities and to create a positive attitude towards the new multicultural society among the majority population was also incorporated into Swedish cultural, educational and media policies. The rejection of assimilationism and the new commitment to ethno-cultural diversity, the multicultural moment, has earned Sweden a place on the list of the early adopters of official multiculturalism, together with Canada and Australia. This compilation thesis examines the origins and early post-war history of the idea of multiculturalism as well as the interplay between idea and politics in the shift from a public ideal of homogeneity to an ideal of multiculturalism in Sweden. It does so from a range of conceptual, comparative, transnational, and biographical perspectives. The thesis consists of an introduction (Part I) and four previously published studies (Part II). The primary research result of the thesis concerns the agency involved in the break-through and formal establishment of the idea of multiculturalism in Sweden. Actors such as ethnic activists, experts and officials were instrumental in the introduction and establishment of multiculturalism in Sweden, as they also had been in Canada and in Australia. These actors have, however, not previously been recognized and analysed as significant idea-makers and political agents in the case of Sweden. The intertwined connections between activists, social scientists, linguists, and officials facilitated the transfer of the idea of multiculturalism from a publically contested idea to public policy via the way of The Swedish Trade Union Confederation, academia and the Royal Commission of Immigration. The thesis furthermore shows that the political success of the idea of multiculturalism, such as it was within the limits of the universalist social democratic welfare state, was dependent on whom the claims-makers were, the status and positions they held, and the way the idea of multiculturalism was conceptualised and used. It was also dependent on the migratory context of labour immigration in the 1960s and 1970s and on whose behalf the advocates of multiculturalism made their claims. The majority of the labour immigrants were Finnish citizens from the former eastern half of the kingdom of Sweden who were net contributors to the Swedish welfare state. This facilitated the recognition of their ethno-cultural difference, and, following the logic of universalism, the ethno-cultural difference of other minority groups in Sweden. The historical significance of the multicultural moment is still evident in the contemporary immigration and integration policies of Sweden. The affirmation of diversity continues to set Sweden apart from the rest of Europe, now more so than in the 1970s, even though the migratory context has changed radically in the last 40 years.

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Avhandlingen studerar samspelet mellan det politiska och det ekonomiska systemet genom det föregående seklet, med speciellt fokus på den nyliberala omdaning som utspelats de senaste tre årtiondena. Med en liberaliserad ekonomi och en individualiserad människa måste också det politiska systemet utformas på ett annat sätt. Gradvisa förändringar har varit synliga, som den växande nätverksorganiseringen, dvs. att olika typer av utvecklingspolitik allt mer genomförs som ett samspel mellan samhällssektorerna, istället för att enbart utföras av den offentliga sektorn som tidigare. Genom fyra fallstudier i Österbotten demonstreras hur arenor för samverkan kan konstrueras i enlighet med vad den aktuella frågan kräver. Ett exempel är det innovationsnätverk som skapats i Karleby-Jakobstad-regionen, där offentliga och privata intressenter deltar, och som samtidigt bryter traditionella administrativa gränser. Ett annat mer negativt exempel är omstruktureringsprocessen i Kaskö-regionen eft er Metsä-Botnia-fabrikens nedläggning, där småkommunproblemet tillsammans med att den privata intressenten inte haft skyldighet att samverka lett till att en tillräckligt regionalt förankrad arena för en långsiktig utvecklingspolitik inte har kunnat skapas. Det här visar på trögheten i det finska systemet, där en stark enhetsstat och en splittrad kommunal nivå ur ett historiskt perspektiv hindrat flexibla anpassningar till samhällsförändringar. Avhandlingen visar att nätverksorganiseringen bör vara en integrerad del av de representativa strukturerna för att kunna påverka processernas utfall. Avhandlingen visar framförallt att deltagande och funktionellt definierade regionala och lokala arenor har stor potential, både ekonomiskt och demokratiskt. Det handlar om att skapa en kultur med aktiverade och engagerade medborgare, vilket står i kontrast till det allt mer passiverande representativa systemet. ---------------------------------------- Väitöskirja tutkii viime vuosisadan poliittisen ja taloudellisen järjestelmän vuorovaikutusta keskittyen erityisesti kolmen viimeisen vuosikymmenen uusliberaaliseen muutokseen. Talouden liberalisoituminen ja ihmisen individualisoituminen edellyttävät myös poliittisen järjestelmän mukautumista. Asteittaisia muutoksia on ollut havaittavissa, kuten kasvava verkosto-organisaatio, toisin sanoen eri alojen kehityspolitiikkaa toteutetaan yhä enemmän eri yhteiskuntasektoreiden vuorovaikutuksena, kun aikaisemmin ainoastaan julkinen sektori vastasi kehityspolitiikan toteuttamisesta. Pohjanmaan maakunnan neljän tapaustutkimuksen avulla osoitetaan, miten vuorovaikutusareena voidaan rakentaa kulloinkin ajankohtaisen asiakokonaisuuden ympärille. Tästä esimerkkinä on Kokkola-Pietarsaari –alueen innovaatioverkosto, johon osallistuvat sekä julkiset että yksityiset sidosryhmät ja joka samalla rikkoo perinteisiä hallinnollisia rajoja. Toinen, kielteisempi esimerkki on Kaskisten alueen rakennemu utosprosessi Metsä-Botnian tehtaan sulkemisen jälkeen. Siellä pienkuntaongelma yhdistettynä siihen, että yksityinen sidosryhmä ei ole ollut velvollinen tekemään yhteistyötä, on johtanut siihen, että ei ole kyetty luomaan alueen pitkäaikaiseen kehittämiseen sitoutunutta vuorovaikutusareenaa. Tämä osoittaa suomalaisen järjestelmän kankeuden, jossa historiallisesta näkökulmasta vahva yhtenäinen valtio ja hajanainen kuntataso estävät joustavan yhteiskuntamuutoksiin sopeutumisen. Väitöskirja osoittaa, että verkosto-organisaation on oltava yhteiskunnassa vaikuttaviin rakenteisiin integroitu osa, jotta se voi vaikuttaa prosessien tuloksiin. Väitöskirja osoittaa ennen kaikkea, että osallistuvilla ja toiminnallisesti määritellyillä alueellisilla ja paikallisilla areenoilla on suuri taloudellinen ja demokraattinen potentiaali. Passivoivan edustavan järjestelmän tilalle on luotava aktiivisten ja tavoitteisiin sitoutuneiden kansalaisten vuorovaikutusjärjestelmä.

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The emerging technologies have recently challenged the libraries to reconsider their role as a mere mediator between the collections, researchers, and wider audiences (Sula, 2013), and libraries, especially the nationwide institutions like national libraries, haven’t always managed to face the challenge (Nygren et al., 2014). In the Digitization Project of Kindred Languages, the National Library of Finland has become a node that connects the partners to interplay and work for shared goals and objectives. In this paper, I will be drawing a picture of the crowdsourcing methods that have been established during the project to support both linguistic research and lingual diversity. The National Library of Finland has been executing the Digitization Project of Kindred Languages since 2012. The project seeks to digitize and publish approximately 1,200 monograph titles and more than 100 newspapers titles in various, and in some cases endangered Uralic languages. Once the digitization has been completed in 2015, the Fenno-Ugrica online collection will consist of 110,000 monograph pages and around 90,000 newspaper pages to which all users will have open access regardless of their place of residence. The majority of the digitized literature was originally published in the 1920s and 1930s in the Soviet Union, and it was the genesis and consolidation period of literary languages. This was the era when many Uralic languages were converted into media of popular education, enlightenment, and dissemination of information pertinent to the developing political agenda of the Soviet state. The ‘deluge’ of popular literature in the 1920s to 1930s suddenly challenged the lexical orthographic norms of the limited ecclesiastical publications from the 1880s onward. Newspapers were now written in orthographies and in word forms that the locals would understand. Textbooks were written to address the separate needs of both adults and children. New concepts were introduced in the language. This was the beginning of a renaissance and period of enlightenment (Rueter, 2013). The linguistically oriented population can also find writings to their delight, especially lexical items specific to a given publication, and orthographically documented specifics of phonetics. The project is financially supported by the Kone Foundation in Helsinki and is part of the Foundation’s Language Programme. One of the key objectives of the Kone Foundation Language Programme is to support a culture of openness and interaction in linguistic research, but also to promote citizen science as a tool for the participation of the language community in research. In addition to sharing this aspiration, our objective within the Language Programme is to make sure that old and new corpora in Uralic languages are made available for the open and interactive use of the academic community as well as the language societies. Wordlists are available in 17 languages, but without tokenization, lemmatization, and so on. This approach was verified with the scholars, and we consider the wordlists as raw data for linguists. Our data is used for creating the morphological analyzers and online dictionaries at the Helsinki and Tromsø Universities, for instance. In order to reach the targets, we will produce not only the digitized materials but also their development tools for supporting linguistic research and citizen science. The Digitization Project of Kindred Languages is thus linked with the research of language technology. The mission is to improve the usage and usability of digitized content. During the project, we have advanced methods that will refine the raw data for further use, especially in the linguistic research. How does the library meet the objectives, which appears to be beyond its traditional playground? The written materials from this period are a gold mine, so how could we retrieve these hidden treasures of languages out of the stack that contains more than 200,000 pages of literature in various Uralic languages? The problem is that the machined-encoded text (OCR) contains often too many mistakes to be used as such in research. The mistakes in OCRed texts must be corrected. For enhancing the OCRed texts, the National Library of Finland developed an open-source code OCR editor that enabled the editing of machine-encoded text for the benefit of linguistic research. This tool was necessary to implement, since these rare and peripheral prints did often include already perished characters, which are sadly neglected by the modern OCR software developers, but belong to the historical context of kindred languages and thus are an essential part of the linguistic heritage (van Hemel, 2014). Our crowdsourcing tool application is essentially an editor of Alto XML format. It consists of a back-end for managing users, permissions, and files, communicating through a REST API with a front-end interface—that is, the actual editor for correcting the OCRed text. The enhanced XML files can be retrieved from the Fenno-Ugrica collection for further purposes. Could the crowd do this work to support the academic research? The challenge in crowdsourcing lies in its nature. The targets in the traditional crowdsourcing have often been split into several microtasks that do not require any special skills from the anonymous people, a faceless crowd. This way of crowdsourcing may produce quantitative results, but from the research’s point of view, there is a danger that the needs of linguists are not necessarily met. Also, the remarkable downside is the lack of shared goal or the social affinity. There is no reward in the traditional methods of crowdsourcing (de Boer et al., 2012). Also, there has been criticism that digital humanities makes the humanities too data-driven and oriented towards quantitative methods, losing the values of critical qualitative methods (Fish, 2012). And on top of that, the downsides of the traditional crowdsourcing become more imminent when you leave the Anglophone world. Our potential crowd is geographically scattered in Russia. This crowd is linguistically heterogeneous, speaking 17 different languages. In many cases languages are close to extinction or longing for language revitalization, and the native speakers do not always have Internet access, so an open call for crowdsourcing would not have produced appeasing results for linguists. Thus, one has to identify carefully the potential niches to complete the needed tasks. When using the help of a crowd in a project that is aiming to support both linguistic research and survival of endangered languages, the approach has to be a different one. In nichesourcing, the tasks are distributed amongst a small crowd of citizen scientists (communities). Although communities provide smaller pools to draw resources, their specific richness in skill is suited for complex tasks with high-quality product expectations found in nichesourcing. Communities have a purpose and identity, and their regular interaction engenders social trust and reputation. These communities can correspond to research more precisely (de Boer et al., 2012). Instead of repetitive and rather trivial tasks, we are trying to utilize the knowledge and skills of citizen scientists to provide qualitative results. In nichesourcing, we hand in such assignments that would precisely fill the gaps in linguistic research. A typical task would be editing and collecting the words in such fields of vocabularies where the researchers do require more information. For instance, there is lack of Hill Mari words and terminology in anatomy. We have digitized the books in medicine, and we could try to track the words related to human organs by assigning the citizen scientists to edit and collect words with the OCR editor. From the nichesourcing’s perspective, it is essential that altruism play a central role when the language communities are involved. In nichesourcing, our goal is to reach a certain level of interplay, where the language communities would benefit from the results. For instance, the corrected words in Ingrian will be added to an online dictionary, which is made freely available for the public, so the society can benefit, too. This objective of interplay can be understood as an aspiration to support the endangered languages and the maintenance of lingual diversity, but also as a servant of ‘two masters’: research and society.