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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
81

Artificial Intelligence in the Pulp and Paper Industry : Current State and Future Trends / Artificiell Intelligens i Massa- och Pappersindustrin : Nuläge och Framtida Trender

Nystad, Marcus, Lindblom, Lukas January 2020 (has links)
The advancements in Artificial Intelligence (AI) have received large attention in recent years and increased awareness has led to massive societal benefits and new opportunities for industries able to capitalize on these emerging technologies. The pulp and paper industry is going through one of the most considerable transformations into Industry 4.0. Integrating AI technology in the manufacturing process of the pulp and paper industry has shown great potential, but there are uncertainties which direction companies are heading. This study is an investigation of the pulp and paper industry in collaboration with IBM that aims to fill a gap between academia and the progress companies are making. More specifically, this thesis is a multiple case study of the current state and barriers of AI technology in the Swedish pulp and paper industry, the future trends and expectations of AI and the way organizations are managing AI initiatives Semi-structured interviews were conducted with 11 participants from three perspectives and the data was thematically coded. Our analysis shows that the use of AI varies, and companies are primarily experimenting with a still immature technology. Several trends and areas with future potential were identified and it was shown that digital innovation management is highly regarded. We conclude that there are several barriers hindering further use of AI. However, continued progress with AI will provide large benefit long term in areas such as predictive maintenance and process optimization. Several measures taken to support initiatives with AI were identified and discussed. We encourage managers to take appropriate actions in the continued work toward AI integration and encourage further research in the area of potential reworks in R&D. / Framgångarna inom Artificiell Intelligens (AI) har fått stor uppmärksamhet de senaste åren och ökad medvetenhet har lett till stora fördelar för samhället liksom nya möjligheter för industrier som tar vara på dessa nya teknologier. Pappers- och massa industrin genomgår en av de mest omfattande transformationerna mot Industri 4.0. Integreringen av AI-teknologi i industrins tillverkningsprocesser has visat stor potential, men också osäkerhet kring vilken riktning företag är på väg mot. Denna studie är en undersökning av den svenska pappers- och massaindustrin, i samarbete med IBM, som syftar till att minska gapet mellan akademin och framstegen företag inom industrin tar. Mer specifikt är denna uppsats en kombinerad fallstudie av det nuvarande läget, barriärerna till AI-teknik i den svenska pappers- och massa industrin, de framtida trenderna och förväntningarna på AI och metoderna företag använder för att stötta AI-initiativ. Semi-strukturerade intervjuer genomfördes med 11 deltagare från tre olika perspektiv och datan var tematiskt kodad. Vår analys visar att användning av AI varierar och företag experimenterar huvudsakligen med omogen teknik. Flera trender och områden med potential för framtiden identifierades och det visades att digital innovationshantering är högt ansedd. Vi sammanfattar med att det finns flera barriärer som hindrar fortsatt användning av AI. Fortsatt arbete med AI-tekniken kommer leda till stora fördelar på lång sikt inom områden som prediktivt underhåll och fortsatt processoptimering. Flera åtgärder för att stötta AI-initiativ var identifierade och diskuterades. Vi uppmuntrar industrin att genomföra lämpliga åtgärder i det fortsatta arbetet mot AI-integration och uppmuntrar fortsatt forskning inom potentiella omstruktureringar inom FoU.
82

Le dispositif intégré DNL en français/cours de FOS et de FOU dans les FUF bi-plurilingues pour la réussite des étudiants allophones / A framework integrating non-linguistic subject(s) (DNL) in French and French for Specific Purposes (FSP)/French for Academic Purposes (FAP) courses in bi-multilingual French-language University Courses for success of allophone students

Bordo, Widiane 27 June 2016 (has links)
La mondialisation économique et l'internationalisation des échanges ont engendré l'ouverture des frontières et la mobilité professionnelle. Par conséquent, de nouveaux besoins communicatifs émergent. En effet, les institutions, les organismes, les administrations et les entreprises recrutent, aujourd'hui, des professionnels capables de communiquer en plusieurs langues lors de leurs activités professionnelles. Pour répondre à cette demande, des établissements scolaires et universitaires ont mis en œuvre des dispositifs d'enseignement bi-plurilingue. La présente thèse s'intéresse aux Filières Universitaires Francophones (FUF) bi-plurilingues, et a pour objectif d'analyser le dispositif Discipline(s) Non Linguistique(s) (DNL)/cours de français, censé garantir la réussite universitaire et professionnelle des étudiants allophones. Ainsi, nous avons mené une enquête de terrain au sein d'une FUF d'économie en Egypte pour y étudier les pratiques linguistiques et didactiques. Notre recherche montre que l'intégration d'un cours de Français sur Objectif Universitaire (FOU) et de Français sur Objectif Spécifique (FOS) dans le programme de formation des FUF vise la réussite des étudiants. Par ailleurs, les résultats de notre investigation nous ont conduite à élaborer différents outils permettant aux enseignants de français d'élaborer plus facilement des cours de FOS/FOU. Il s'agit précisément de la conception d'un référentiel de compétences langagières, d'un programme de formation de FOS/FOU et d'activités pédagogiques. / The economic globalization and internationalization of exchanges led to the opening of borders and professional mobility. As a result, new communication needs are emerging. Indeed, institutions, organizations, administrations and enterprises are nowadays recruiting professionals who can communicate in different languages during their workplace activities. To meet this demand, schools and universities have implemented bi-multilingual teaching. This thesis focuses on bi-multilingual French-language University Courses (FUF) and aims to analyze the framework including non-linguistic subject(s) (DNL) in French and French courses, which is intended to ensure the academic and professional success of allophone students. Thus, we conducted a field survey within the Economics courses of a FUF in Egypt so as to study the linguistic and teaching practices. Our research shows that the integration of French for Specific Purposes (FSP) and French for Academic Purposes (FAP) courses in the FUF’s academic program aims at student achievement. Furthermore, the results of our investigation led us to develop different tools which will enable French teachers to create FSP/FAP courses more easily. More specifically, it is the construction of a competency framework, the design of a training program and educational activities.

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