Dissertations / Theses on the topic 'Intelligence specialists'

What has been an enduring gap in both research and practice since the McKinsey consultants first published their report on 'The war for talent' in 1998 as a response to rising competition between organisations globally, is the lack of talent management systems where professional rather than leadership talent is recognised. By focusing on the competitive intelligence specialist role, this study explores how a seemingly strategic professional role is framed in the context of organisational talent within the banking sector of Zimbabwe. It is noteworthy that the modern thinking around talent management in organisations has been dominated by research done in United States of America (US), Europe and Asia with a focus on multinational and private organisations (Thunnissen et al., 2013a: 1745). Of notable concern is the lack of empirical efforts towards talent management within the African continent, even more so in the context of the banking sector, and this study is an attempt to address this gap. By using a conceptual framework derived from a critical review of competitive intelligence specialist and talent management literature, the study uses qualitative methods to collect research data from the case study bank, namely Steward Bank. To illuminate how the research participants framed the research phenomenon, frame analysis was adopted and achieved through the analytical use of a signature matrix consisting of two elements: rhetorical framing devices and rhetorical reasoning devices. Contrary to the research expectations, in this case study, the competitive intelligence specialist activities are not embedded in specific roles but instead are dispersed across the organisations in different departments. This setup is attributed to the dispersed nature of the requisite knowledge resident in different parts of the organisation. It is clear from the findings that competitive intelligence specialist activities are recognised as a key differentiator to organisational performance, and arguably deserve to be recognised as talent. However, the formal talent management system does not recognise competitive intelligence specialist activities as organisational talent, thereby pointing to rhetorical obfuscation by participants. Furthermore, different aspects of how talent is defined emerged ranging from an innate view of talent, with some going further to attribute talent as a gift from God, to an acquired view of talent where participants suggest that the more they practice competitive intelligence activities, the more expertise they tend to gain. Based on findings of this study, it is argued that organisations will benefit more from a holistic approach to talent management, which not only includes key strategic leadership roles but also incorporates key strategic specialist roles and key strategic specialist activities similar to the competitive intelligence specialist activities. Also, both academics and practitioners need to reconsider the institutionalisation of competitive intelligence and incorporate the dispersed competitive intelligence activities approach. By successfully applying frame analysis, this study has also heightened the notion of frame signature matrix as a data analysis technique for identifying how actors frame certain phenomenon within the organisational context.

2 000 caracteres maximum espaces compris. En cas de depassement la coupure sera automatique. L'information specialisee (is en abrege) concerne l'information utile aux professionnels dans leur environnement de travail. L'analyse theorique et experimentale de l'is comme ressource et comme bien economiques est soumise a des difficultes qui tiennent a sa nature intrinseque. Types d'is et variete des usages influent egalement sur l'economie de l'is. A ce niveau, la question de la valeur parait centrale. Les fonctions de l'is dans l'economie - alerte, regulation, organisation et accompagnement de la production, diffusion et transfert - sont essentielles a la vision strategique de l'entreprise, a ses capacites d'anticipation et d'innovation. Parmi les obstacles a la penetration de l'is dans l'economie figurent les problemes de retention, de pertinence, de qualite. La structure des organisations - y compris au plan informationnel - joue un role primordial. A cet egard, les questions de marchandisation et d'industrialisation de l'information disponible sur le marche ne peuvent etre separees de celles des modes d'integration de l'is dans l'entreprise. L'evolution du marche des produits et services est aussi determinee par les facteurs de coherence et d'integration qui sous-tendent le developpement des technologies, notamment dans les domaines des reseaux, du multimedia, de l'edition electronique. Le dynamisme du marche et de la consommation depend, d'autre part, des conditions de mise ne relation de l'offre et de la demande. Sur ce plan, les questions d'intermediation et de formation a l'utilisation revetent une importance particuliere. Une approche synthetique de l'economie de l'is peut progresser dans deux directions. L'une concerne l'intelligence economique dont la demarche, a la fois strategique et operationnelle, peut etre qualifiee d'infoglobalisme. L'autre dans le champ de la recherche, vise a renforcer le cadre theorique par le fertilisation croisee des apports des sciences de la gestion et du management avec ceux des sciences de l'information
Specialised information (si) concerns information useful to professionals in their working environment. The theoretical and experimental analysis of si as a resource and an economic asset is subject to certain intrinsic difficulties. Different types ans uses of si also influence its structure. At this level, the question of value appears to be predominant. The fonctions of si in the economy - alert, regulation, production organisation and support, distribution and transfer - are essential to the strategic vision of the company, and also to its capacity to anticipate and to innovate. Among the obstacles to the penetration of si into the economy are the problems of retention, relevance and quality. The structure of organisations, including their information structure, is of the utmost importance. In this respect, the questions of merchandising, industrialising of the information available on the market cannot be separated from those of integrating si into the company. The evolution of the market in goods and services is also determined by the factors of coherence and integration which underlie the development of technologies, notably in the fields of networking, multimedia and electronic publishing. On the other hand, the dynamism of the market and of consumption depends on the way supply and demand are logged. Here, the questions of inter-mediation and training assume special importance. A unifying approach to the organisation of si can go in two directions. One of them concerns competitive intelligence, and may be considered as infoglobalism, as its process is both strategic and operational. The other, in the field of research, aims to reinforce the theoretical framework by cross-fertilising the contributions of management science and of information science

Aim: To identify the knowledge and skills required by the specialist stoma care nurse to facilitate the needs of patients adapting to a newly formed stoma in order to inform specialist nurse education. Background: Advances in surgical techniques, drug therapies, bowel screening and patient recovery programmes have offered those with colorectal disorders, a potential increased life expectancy and improved disease management. For the specialist nurse, there is the constant challenge to keep abreast of these advances and provide more formal, precise and accurate information, facilitating individualised patient need. In response, an education curriculum needs to foster a comprehensive knowledge base in order to equip and support the nurse to become confident and competent in clinical practice. How knowledge is translated from the classroom into clinical practice is a key feature of this study; in particular the role of the specialist stoma care nurse in facilitating the adaptation of patients following stoma surgery. Method: A qualitative approach was chosen to fulfil the aim and objectives of this two-staged study. Phase one took a phenomenological approach and phase two a focus group methodology approach. Eight patients were interviewed in phase one. This offered insight into the experiences of living with a newly formed stoma. Vignettes (total 18) were created from the patients’ narratives. These were used to stimulate discussion among nurses at the focus groups within phase two of the study. The complexities of translating specialist knowledge and skills among thirty-nine specialist stoma care nurses were explored through one of a series of seven focus groups. The analysis for this study was undertaken in 3 stages; stage 1, thematic analysis of phase 1, stage 2, thematic analysis of phase 2 and stage 3, further analysis of phase 2 using Mayer and Salovey (1997) emotional intelligence theoretical framework. Findings: Phase one highlighted a variety of challenges faced by patients and recognised their coping strategies as they adapted to a newly formed stoma. Six themes emerged from the thematic analysis; seeking assurances, permanence versus reversibility of stoma, anticipated stigma, psychological projection, worthwhile sacrifice and sense of achievement. The thematic analysis of phase two identified five comparable themes; skilled know-how, understanding self, hurdles to accommodate, communication skills and uncertain ground. A further examination through an alternative lens was considered to distil the pedagogy. Mayer and Salovey (1997) emotional intelligence framework guided the third stage of analysis. Five key concepts emerged, forming the essential components to specialist nursing practice; the influence of emotions on critical thinking and clinical decision-making, the use of empathetic and intuitive skills in clinical judgements, the ability to balance true self alongside professional self, the need to foster cognitive activity, good communication and creativity and preserving a conscious awareness of self so to develop personal growth. Conclusion: Individual experiences of patients adapting to a newly formed stoma evidently differed. Both the challenges faced and coping strategies of the patients were revealed. The specialist stoma care nurse is ideally placed to facilitate meeting the patients’ needs as they adapt. The five essential components to specialist practice are identified. Educational strategies for cultivating critical thinking and communication skills, developing self and emotional conscious awareness and nurturing personal growth need to be considered for integration into specialist nurse educational curriculum.

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Esta dissertaÃÃo apresenta os resultados de um sistema de auxÃlio ao diagnÃstico mÃdico implementado atravÃs de classificadores estatÃsticos e neurais. O Sistema Inteligente para DiagnÃstico de Patologias da Coluna Vertebral (SINPATCO) à composto por trÃs subsistemas, a saber: interface grÃfica, classificaÃÃo de patologias e extraÃÃo de conhecimento. O mÃdulo de interface grÃfica permite uma interaÃÃo amigÃvel com o especialista mÃdico. O mÃdulo de classificaÃÃo automÃtica de patologias à implementado por diferentes algoritmos, tais como discriminantes linear e quadrÃtico, Naive Bayes, K-Vizinhos mais PrÃximos (KNN), rede MLP, rede SOM e rede GRNN. O mÃdulo de extra ÃÃo de conhecimento à responsÃvel pela extraÃÃo de regras proposicionais a partir dos classificadores treinados, a fim de elucidar para o mÃdico ortopedista como o classificador chega ao diagnÃstico final. Em particular, o mÃdulo de classificaÃÃo de patologias da plataforma SINPATCO utiliza atributos biomecÃnicos recentemente propostos para efetuar a categorizaÃÃo de um paciente em trÃs classes: pacientes normais, pacientes com espondilolistese e pacientes com hÃrnia de disco. Os diversos classificadores supracitados sÃo comparados com relaÃÃo à taxa de acerto, nÃmero de falsos positivos, nÃmero de falsos negativos e sensibilidade a amostras discrepantes (outliers). As contribuiÃÃes deste trabalho sÃo variadas, indo desde do fato de ser provavelmente o primeiro a usar um conjunto recente de atributos biomecÃnicos para projeto de classificadores na Ãrea de medicina ortopÃdica, passando pelo estudo comparativo do desempenho de vÃrios classificadores, atà a extraÃÃo de regras a partir dos classificadores com melhor desempenho para explicar o diagnÃstico obtido ao mÃdico, para posterior avaliaÃÃo. Atà onde se tem conhecimento, a combinaÃÃo destas trÃs contribuiÃÃes torna o sistema SINPATCO inovador na Ãrea de ortopedia mÃdica, servindo de auxÃlio na atividade de diagnÃstico e facilitando o trabalho dos profissionais dessa Ãrea. AlÃm servir como ferramenta de auxÃlio ao diagnÃstico do mÃdico especializado em ortopedia, o sistema SINPATCO pode ser usado por clÃnicos nÃo-especialistas em ortopedia, a fim de minimizar a carÃncia de ortopedistas em regiÃes remotas, agilizando o atendimento e o encaminhamento do paciente para centros mais desenvolvidos.
This dissertation presents the results obtained from a computer-aided medical diagnostic system implemented through statistical and neural pattern classifiers. The Intelligent System for Diagnosis of Pathologies of the Vertebral Column (SINPATCO) has a modular architecture and is composed of three subsystems, namely: graphical interface, classification of pathology, and knowledge extraction. The graphical interface module allows a friendly man-machine interaction with the physician. The pathology classification module is implemented through difierent algorithms, such as linear and quadratic discriminants, Naive Bayes classifier, K Nearest Neighbors (KNN) classifier, Multilayer Perceptron (MLP) network, Self-Organizing Map (SOM) network, ang Generalized Regression network (GRNN). The knowledge extraction module is responsible for rule extraction from trained neural network based classifiers, in order to elucidate the neural-based diagnostic to the orthopedist. In particular, the pathology classification module of the SINPATCO platform uses recently proposed biomechanical attributes to categorize a patient into one out of three classes: normal subjects, subjects with spondilolistesis, and subjects with disk hernia. All the aforementioned classifiers are evaluated with respect their pathology recognition rate, number of false positive cases, number of false negative cases and sensitivity to outliers. The contribution of this work is manifold. Starting from the fact that it is probably the first to use (within the orthopaedic medicine) a recently proposed set of biomechanical measurements for the design of classifiers, this work also evaluates several pattern classifiers in the diagnosis of patologies of the vertebral column, and allows knowledge extraction from the trained classifiers in order to elucidate the obtained diagnostic to the physician. To the best of our knowledge, the combination of these three contributions makes the SINPATCO platform an innovative computer-aid tool for the orthopedist, facilitating the work of these professionals. Despite the fact that the SINPATCO platform can serve as a computer-aided diagnostic tool in the orthopedic medicine, it can also be used by non-expert clinicians, in order to minimize the lack of orthopedists in remote regions, speeding up the treatment and the transferring of patients to more developed centers.

Orientador: Celso Kazuyuki Morooka
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica, Instituto de Geociencias
Made available in DSpace on 2018-08-03T22:12:37Z (GMT). No. of bitstreams: 1 Franco_KarinaPereiraMotta_M.pdf: 1553663 bytes, checksum: 57775c8a7e9fd94bfa040f81127ca4d3 (MD5) Previous issue date: 2003
Resumo: Os investimentos iniciais para o desenvolvimento de campos petrolíferos no mar estão cada vez maiores e as alterações nas tomadas de decisões referentes a um novo projeto estão com menor flexibilidade devido às descobertas de campos localizados em lâminas d¿água cada vez mais profundas. O risco relacionado com o desenvolvimento desses campos é causado pela necessidade de se tomar decisões num ambiente de incertezas, já que as informações relacionadas ao novo projeto mínimas. Com a obtenção das informações relacionadas a um novo campo, o seu desenvolvimento é realizado em diferentes etapas, são elas: planejamento, seleção, execução, operação e abandono. O planejamento se inicia logo após a descoberta de petróleo em uma determinada região (considerando que haja um bom volume de óleo existente) onde vários cenários são projetados para que na próxima etapa possa selecionar uma dessas opções, mas estas seleções podem ser alteradas até que finalmente haja uma definição absoluta de qual cenário deverá entrar em execução. Por último o campo deve ser abandonado após seus anos de vida útil em operação. A presente pesquisa engloba a primeira etapa do desenvolvimento de um campo, ou seja, o planejamento. A dificuldade em escolher um bom sistema marítimo de produção de óleo está ligada a aspectos técnicos, econômicos, ambientais e políticos. O sucesso de um projeto de sistema marítimo de produção depende muito da experiência acumulada pelos engenheiros durante o exercício de suas atividades. Este trabalho propõe um ambiente inteligente para otimizar a escolha dentre alternativas em projeto de sistemas marítimos de produção através do uso do conhecimento especialista sobre processos e procedimentos técnicos e ambientais que envolvem a produção de óleo e gás. Para a modelagem do conhecimento especialista e para o desenvolvimento do sistema inteligente utilizou-se a teoria de conjuntos nebulosos e raciocínio aproximado
Abstract: The initial investments for the development of offshore oilfields are always increasing and the alterations in the taking decision making stage for a new Project are less flexible due to the Discovery of fields located in ultra deep waters. The risk related with the development of these fields is caused by the necessity of making decisions in an environment of uncertainties, since the information related to the new projects is minimum. With the attainment of the information related to a new field, its development is carried out through different stages, namely: planning, selection, execution, operation and abandonment. The planning is initiated soon after the discovery of oil in a determined region (considering that it has a good volume of existing oil) where some scenarios are projected so that in the next stage one of these options can be selected, but these selections can be modified until finally there is an absolute definition of which scenarios will have to enter in execution. Finally the field must be abandoned after years on operation. This work englobes the first stage of the development of a field, that is, the planning. The difficulty in choosing a good offshore oil production system is on the aspects technology, conomic, environment and politics. The success of a design of offshore petroleum production system is highly dependent on the accumulated expertise of engineers during their professional activities. The present work proposes an intelligent system to optimize the selection task among alternatives in designing of offshore production systems through the use of the expert knowledge related to technical and environmental process, and operational procedures involving oil and gas production. Fuzzy sets theory and approximated reasoning are used to model the expert knowledge and to develop the intelligent system here presented
Mestrado
Reservatórios e Gestão
Mestre em Ciências e Engenharia de Petróleo

Orientador: Luís Cuadrado Martin
Resumo: O conhecimento sobre qualquer patologia pode ser facilmente encontrado na internet, mas dificilmente encontra-se alguma ferramenta que faça a análise e o raciocínio entre os dados de um paciente e se obtenha o diagnóstico mais provável. Em nosso cotidiano, em virtude de uma maior demanda na área da saúde, existe uma necessidade crescente de diagnósticos médicos rápidos e precisos. Em virtude disso, foi elaborado um Sistema de Apoio à Decisão Médica com o intuito de otimizar e agilizar de forma confiável os diagnósticos médicos. A ideia é dar qualidade e agilidade à prática médica, adotando a tecnologia como ferramenta básica: “Quem tem mais informação, tem melhores condições para escolher e tomar decisões”. Na construção deste sistema, foram utilizados um banco de dados relacional (MySQL) e aplicadas técnicas de inteligência artificial, tais como: a construção de Árvores de Decisão, Aprendizado não supervisionado e a utilização das Redes de Bayes (onde estão envolvidos domínios de conhecimento com significativo grau de incerteza, como é o caso da área médica). Através da união destas técnicas, são feitas a seleção e classificação das doenças mais prováveis, onde as mesmas podem ser examinadas com mais detalhes pelo médico, garantindo assim uma maior segurança na escolha dos possíveis diagnósticos. Visando uma maior abrangência e rapidez na disseminação do conhecimento humano, o sistema foi disponibilizado via internet (www.danton.med.br). Para a concepção do projeto foi reali... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The knowledge about any pathology can be easily found on the internet, but it is difficult to find any tool that makes the analysis and reasoning between the data of a patient and obtain the most probable diagnosis. In our daily lives, due to a greater demand in the health area, there is a growing need for fast and accurate medical diagnoses. As a result, a Medical Decision Support System was developed in order to reliably optimize and streamline medical diagnostics. The idea is to give quality and agility to medical practice, adopting technology as a basic tool: “Who has more information, has better conditions to choose and make decisions”. In the construction of this system, a relational database (MySQL) was used and artificial intelligence techniques were applied, such as: the construction of Decision Trees, Unsupervised Learning and the use of Bayes Networks (where knowledge domains are involved with significant degree of uncertainty, as is the case in the medical field). Through the union of these techniques, the selection and classification of the most probable diseases are made, where they can be examined in more detail by the doctor, thus ensuring greater security in the choice of possible diagnoses. Aiming at a greater scope and speed in the dissemination of human knowledge, the system was made available via internet (www.danton.med.br). To design the project, a prospective, randomized, crossover and open study was carried out; in which 3 groups of doctors (called gr... (Complete abstract click electronic access below)
Doutor

This study is a qualitative research project classified as practical and participatory action research designs, which has as its aim the creation of an instructional design, used as a learning metric for Domus Software - Procel Edification, which integrates concept maps and the revised Bloom taxonomy into an intelligent web assessment system. This metric aligns curriculum concept maps along with conceptual and procedural knowledge of the Domus software - Procel edifies the retaining cognitive processes, provides understanding and application, through offering a model of instructional design, which assigns weights to those cognitive processes attained by students and identifies principles to be used in its applicability for the evaluation of distance learning. The authors also present the results for alignment, inferring weights as well as an outline of the logical sequence along with steps for the implementation of the intelligent system through the association of some exemplification slides.
O presente trabalho é uma pesquisa qualitativa e classificada como practical and participatory action research designs (desenho de pesquisa de prática e ação participativa), que tem como intuito criar um desenho instrucional para uma métrica da aprendizagem do Software Domus Procel Edifica, integrando mapas conceituais à taxonomia revisada de Bloom em um sistema inteligente de avaliação na Web. Essa métrica alinha mapas conceituais curriculares, conhecimentos procedimentais e conceituais do software Domus − Procel Edifica aos processos cognitivos de retenção, entendimento e aplicação, oferecendo um modelo de desenho instrucional, que atribui pesos aos processos cognitivos alcançados pelos estudantes e identifica alguns princípios para sua aplicabilidade na avaliação da aprendizagem a distância. Apresenta-se ainda, resultados de alinhamento, inferência de pesos e um esboço da sequência lógica e etapas de execução do sistema inteligente, associando-se algumas telas de exemplificação.
Mestre em Educação

Marketing Management is one of the areas that has been progressively integrating artificial intelligence systems, and the pace of the development of intelligent software that is very useful for marketing seems not to slow down. In fact, the growth and sophistication of technological systems promise to increase even more, which will inevitably affect operations as well as management and planning. In an attempt to assess and measure the expected impacts of AI on marketing departments in the short / medium term, a Delphi was carried out. Thereby, a panel of 21 marketing specialists (13 Portuguese and 8 international) was gathered, which was asked to evaluate on a Likert scale a series of statements, and to comment and debate among them. In this case it was a Real Time Delphi since the study was conducted using an online platform, which allowed all comments to be immediately available and visible to all participants. With this exploratory study, it was possible to conclude that the areas that are expected to be helped by intelligent systems to a greater extent – this is, the areas that will assist the automation of more operations - are customer recognition , market segmentation, sales forecasting and programmatic communication. On the other hand, the two most controversial statements among experts - thus risky to draw lessons - were statements regarding the autonomous operation of website adjustments and developments, as well as the adoption of intelligent systems to support strategic and strategic decision-making.
A Gestão de Marketing é uma das áreas que tem vindo progressivamente a integrar sistemas de inteligência artificial, e a cadência do desenvolvimento de softwares inteligentes com grande utilidade para parece não abrandam. Na verdade, o crescimento e o grau de sofisticação dos sistemas tecnológicos prometem aumentar cada vez mais, o que promete afetar a vários níveis as operações e até a definição de estratégias de marketing e de gestão. Na tentativa de avaliar e medir os impactos da inteligência artificial nos departamentos de marketing no curto/médio prazo, procedeu-se à realização de um Delphi. Para isso reuniu-se um painel de 21 especialistas na área do marketing e da inteligência artificial (13 portugueses e 8 internacionais), ao qual foi colocada uma série de afirmações para que fossem avaliadas numa escala de Likert, comentadas e debatidas. Neste caso tratou-se de um Real Time Delphi uma vez que o estudo foi realizado recorrendo a uma plataforma online, o que permitiu que todos comentários ficassem imediatamente disponíveis e visíveis a todos os participantes. Com este estudo, de cariz marcadamente exploratório, concluiu-se que as áreas que se esperam vir a ser auxiliadas por sistemas inteligentes em maior medida – ou seja, as áreas que assistirão à automatização de um maior número de operações – são o reconhecimento do cliente, segmentação de mercado, previsão de vendas e comunicação programática. Por outro lado, os temas que mais controvérsia geraram entre os especialistas – sendo pouco seguro retirar ilações – referem-se à operação autónoma de ajustes e desenvolvimentos de websites, bem como à adoção de sistemas inteligentes para servirem de apoio à tomada de decisões estratégicas e de planeamento.

L’automatisation et l’intelligence constituent des préoccupations majeures dans le domaine de l’Informatique. Avec l’évolution accrue de l’Intelligence Artificielle, les chercheurs et l’industrie se sont orientés vers l’utilisation des modèles d’apprentissage automatique et d’apprentissage profond pour optimiser les tâches, automatiser les pipelines et construire des systèmes intelligents. Les grandes capacités de l’Intelligence Artificielle ont rendu possible d’imiter et même surpasser l’intelligence humaine dans certains cas aussi bien que d’automatiser les tâches manuelles tout en augmentant la précision, la qualité et l’efficacité. En fait, l’accomplissement de tâches informatiques nécessite des connaissances, une expertise et des compétences bien spécifiques au domaine. Grâce aux puissantes capacités de l’intelligence artificielle, nous pouvons déduire ces connaissances en utilisant des techniques d’apprentissage automatique et profond appliquées à des données historiques représentant des expériences antérieures. Ceci permettra, éventuellement, d’alléger le fardeau des spécialistes logiciel et de débrider toute la puissance de l’intelligence humaine. Par conséquent, libérer les spécialistes de la corvée et des tâches ordinaires leurs permettra, certainement, de consacrer plus du temps à des activités plus précieuses. En particulier, l’Ingénierie dirigée par les modèles est un sous-domaine de l’informatique qui vise à élever le niveau d’abstraction des langages, d’automatiser la production des applications et de se concentrer davantage sur les spécificités du domaine. Ceci permet de déplacer l’effort mis sur l’implémentation vers un niveau plus élevé axé sur la conception, la prise de décision. Ainsi, ceci permet d’augmenter la qualité, l’efficacité et productivité de la création des applications. La conception des métamodèles est une tâche primordiale dans l’ingénierie dirigée par les modèles. Par conséquent, il est important de maintenir une bonne qualité des métamodèles étant donné qu’ils constituent un artéfact primaire et fondamental. Les mauvais choix de conception, ainsi que les changements conceptuels répétitifs dus à l’évolution permanente des exigences, pourraient dégrader la qualité du métamodèle. En effet, l’accumulation de mauvais choix de conception et la dégradation de la qualité pourraient entraîner des résultats négatifs sur le long terme. Ainsi, la restructuration des métamodèles est une tâche importante qui vise à améliorer et à maintenir une bonne qualité des métamodèles en termes de maintenabilité, réutilisabilité et extensibilité, etc. De plus, la tâche de restructuration des métamodèles est délicate et compliquée, notamment, lorsqu’il s’agit de grands modèles. De là, automatiser ou encore assister les architectes dans cette tâche est très bénéfique et avantageux. Par conséquent, les architectes de métamodèles pourraient se concentrer sur des tâches plus précieuses qui nécessitent de la créativité, de l’intuition et de l’intelligence humaine. Dans ce mémoire, nous proposons une cartographie des tâches qui pourraient être automatisées ou bien améliorées moyennant des techniques d’intelligence artificielle. Ensuite, nous sélectionnons la tâche de métamodélisation et nous essayons d’automatiser le processus de refactoring des métamodèles. A cet égard, nous proposons deux approches différentes: une première approche qui consiste à utiliser un algorithme génétique pour optimiser des critères de qualité et recommander des solutions de refactoring, et une seconde approche qui consiste à définir une spécification d’un métamodèle en entrée, encoder les attributs de qualité et l’absence des design smells comme un ensemble de contraintes et les satisfaire en utilisant Alloy.
Automation and intelligence constitute a major preoccupation in the field of software engineering. With the great evolution of Artificial Intelligence, researchers and industry were steered to the use of Machine Learning and Deep Learning models to optimize tasks, automate pipelines, and build intelligent systems. The big capabilities of Artificial Intelligence make it possible to imitate and even outperform human intelligence in some cases as well as to automate manual tasks while rising accuracy, quality, and efficiency. In fact, accomplishing software-related tasks requires specific knowledge and skills. Thanks to the powerful capabilities of Artificial Intelligence, we could infer that expertise from historical experience using machine learning techniques. This would alleviate the burden on software specialists and allow them to focus on valuable tasks. In particular, Model-Driven Engineering is an evolving field that aims to raise the abstraction level of languages and to focus more on domain specificities. This allows shifting the effort put on the implementation and low-level programming to a higher point of view focused on design, architecture, and decision making. Thereby, this will increase the efficiency and productivity of creating applications. For its part, the design of metamodels is a substantial task in Model-Driven Engineering. Accordingly, it is important to maintain a high-level quality of metamodels because they constitute a primary and fundamental artifact. However, the bad design choices as well as the repetitive design modifications, due to the evolution of requirements, could deteriorate the quality of the metamodel. The accumulation of bad design choices and quality degradation could imply negative outcomes in the long term. Thus, refactoring metamodels is a very important task. It aims to improve and maintain good quality characteristics of metamodels such as maintainability, reusability, extendibility, etc. Moreover, the refactoring task of metamodels is complex, especially, when dealing with large designs. Therefore, automating and assisting architects in this task is advantageous since they could focus on more valuable tasks that require human intuition. In this thesis, we propose a cartography of the potential tasks that we could either automate or improve using Artificial Intelligence techniques. Then, we select the metamodeling task and we tackle the problem of metamodel refactoring. We suggest two different approaches: A first approach that consists of using a genetic algorithm to optimize set quality attributes and recommend candidate metamodel refactoring solutions. A second approach based on mathematical logic that consists of defining the specification of an input metamodel, encoding the quality attributes and the absence of smells as a set of constraints and finally satisfying these constraints using Alloy.

碩士
國立高雄師範大學
復建諮商研究所
100
In recent years, with the increase in demand for employment services, employment specialists for disabled people attendant challenges facing increasing, and this group of front-line service personnel are still capable of their duties, may mean to their personality traits, emotional intelligence and job satisfaction of a unique thinking, the motivation for the study and to explore the subject. The purpose of this study is mainly to examine how personality traits and emotional intelligence relate to job satisfaction, the participants of the study were employment specialists for disabled people from all county in Taiwan. This study is conducted through questionnaires.With 157 employment specialists for disabled people as our objects. The collected data were analyzed for means, standard deviation, t-test, one way ANOVA, Pearson product-moment correlation, and multiple stepwise regression. The main findings of the study are as follows: 1. Personality trait behaviors are composite of five major personality traits. 2. Emotional intelligence tend to positive emotions and ‘’self emotion appraisal’’ has the highest intelligence level. 3. Overall job satisfaction is satisfactory and ‘’internal satisfaction’’ has the highest satisfactory level. 4. Personality traits, emotional intelligence, and job satisfactions are significantly related. 5. Background variables in personality traits, emotional intelligence and job satisfaction have a significant effect on. 6. Job satisfaction may be hypothesized by one’s personality traits.

碩士
南台科技大學
人力資源管理研究所
98
The purpose of this research is to study the relationship between the emotional labor of a specialist and his/her work vigor. The emotional intelligence is used as the moderator variable. The effectiveness of specialist’s EI influence the relationship between emotional labor and work vigor will be investigated and analyzed. The study uses questionnaire method. The objects of this questionnaire study are the job specialists in the government employment service center in 7 southern Taiwan counties. The questionnaire is analyzed by Descriptive Statistics、Frequency Distribution、Reliability Validity、Pearson Product-Moment Correlation Coefficient、Regression Analysis methods. Among the job specialist, higher the emotional labor shows higher work vigor; higher the emotional intelligence shows higher work vigor as well. Emotional intelligence plays an important role in moderating emotional labor and work vigor.

M.Sc.(Computer Science)
The dissertation investigates trust and reputation as a specialisation of agent technology. The research presented herein aims to establish and demonstrate how it is possible for one rational agent to trust another entity. Furthermore, the research presented herein aims to determine the extent of the limitations of trust and reputation models, and of the demonstrable solution in particular. To this end, the dissertation investigates theoretical aspects of trust. The dissertation investigates several existing trust models and establishes criteria for a qualitative analysis. Supplementary techniques aimed at enhancing trust evaluation are also investigated. The research also identifies architectural abstractions suitable for developing agents capable of intelligent trust evaluation. The main focus of the research is enhancing agent protection through a trust-based approach. A particular problem is the threats posed to mobile agents from malicious agent hosts. Therefore, a solution is sought that can be used to augment existing mechanisms aimed at mobile agent protection and agent protection in general. Thus, the research also examines mobile agents and mobile agent systems in an effort to produce a general trust-based solution that can be applied in most mobile agent systems. The solution presented in the dissertation proposes the concept of an evaluator agent as an add-on to existing mobile agent systems. The evaluator agent is presented as a rational agent with an embedded intelligent trust evaluation capability. The intelligent trust evaluation capability is provided via a set of reusable components. The solution demonstrates how a rational agent may evaluate the trustworthiness of other entities. The dissertation further analyses the strengths and limitations of the approach. The dissertation provides results that quantitatively demonstrate the extent of the limitations of the trust-based approach. The contribution of the dissertation partly lies in the service orientation of the evaluator agent approach. The service orientation of the solution provides an abstraction and a degree of heterogeneity suitable for handling the challenges of open environments. The solution can be deployed in most mobile agent systems to provide a trust evaluation service without the need to redesign existing mobile agent systems. More broadly, the research is another step towards the development of cognitive social agents.

碩士
國立成功大學
高階管理碩士在職專班(EMBA)
101
Wealth management business in the 2000 sprout, has now become the core business of Taiwan's financial holding company, main core business, have established a wealth management center or wealth management sector. The main purpose is to increase fee income, to become an important sector of the financial sector of our continued profitable growth, but they do suffer a great challenge in the turmoil of the financial tsunami, very lucky to shine once again in the wealth management market in 2009, began back to temperature, but at this moment to seize the opportunities to develop professional and a full range of financial services specialist, will be a key factor for success. This study main discussion focused on personality traits, emotional intelligence, adversity quotient, emotional labor of job satisfaction, and financial service specialist take 5 financial Holdings company in Taipei as object of study. This research use the questionnaire survey method to carry on the real diagnosis, altogether delivered 350 questionnaires, reclaimed effective questionnaire 302,the effective questionnaire returns-ratio is 86.29%. This research obtained material use narrative material analysis methods such as descriptive statistical analysis, factor analysis, liability analysis, validity analysis and LISREL analysis. The results of this study show as following： (1)．The personality traits, emotional intelligence, and adversity quotient have a significant positive influence on the emotional labor (2)．The personality traits, emotional intelligence, and adversity quotient, and emotional labor have a significant positive influence on the job satisfaction. Keywords：personality traits, emotional intelligence, adversity quotient, job satisfaction

Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
Nowadays, there is a greater urgency for companies to innovate and digitally transform. Automation and digitalization of processes, coming up with new ways to connect with employees and customers, or investing in a robust infrastructure that can respond and extract insights from the ever-increasing amount of data that is being produced across all sectors of the enterprise: these are all topics that any company needs to have as a top priority if they want to keep up with their competitors and stay relevant in their own markets. The present document describes the activities carried out during a period of 10 months (September 2019 – June 2020, correspondent to the fiscal year of 2020) at Microsoft’s Corporation Portuguese Subsidiary, working as a full-time Technical Specialist. The technical specialist first received extensive technical and commercial training from a vast variety of resources (online resources, one-to-one shadowing, and on-site technical readiness) and after the ramp-up process, he proceeded to drive the business for Microsoft Portugal by conducting customer and partner meetings, and to play his part in the sales motion by providing deep technical expertise and compelling technology demonstrations. The technical specialist oversaw a unified set of Microsoft technologies, called the Power Platform, that bundle together a set of tools such as Power BI for data analysis and visualization, Power Apps for line-of-business application development, Power Automate for workflow automation and RPA capabilities and Power Virtual Agents as an engine for creating and deploying intelligent chatbots. All these components are further enriched and integrated with the Office 365 and Dynamics 365 ecosystems, hundreds of data connectors, advanced database capabilities, artificial intelligence and machine learning models, and the extensibility from the resources available on the Azure Cloud.

Argumentation plays an important role in information sharing, deep learning and knowledge construction. However, because of the high dependency on qualified arguing peers, argumentative learning has only had limited applications in school contexts to date. Intelligent agents have been proposed as virtual peers in recent research and they exhibit many benefits for learning. Argumentation support systems have also been developed to support learning through human-human argumentation. Unfortunately these systems cannot conduct automated argumentations with human learners due to the difficulties in modeling human cognition. A gap exists between the needs of virtual arguing peers and the lack of computing systems that are able to conduct human−computer argumentation. This research aimed to fill the gap by designing computing models for automated argumentation, develop a learning system with virtual peers that can argue automatically and study argumentative learning with virtual peers.

This arts-based, practice-led, qualitative theoretical work amplifies young people’s ethical opinions of what it means to be human both now and in the future through three cumulative technological lenses. These are artificial intelligence (AI), and the anticipated superintelligence which has already commenced (Andrews, 2017), which enables the third lens of posthumanism, defined by the Oxford dictionary as ‘The idea that humanity can be transformed, transcended, or eliminated either by technological advances or the evolutionary process; artistic, scientific, or philosophical practice which reflects this belief (Dictionary, 1970).' Posthumanism auspices Transhumanism, which is defined as using technology to further enhance the skills, abilities, and lifespans of human beings who ultimately become posthuman (H+). This research renders a superintelligent AI which might orchestrate the qualities that future humans / posthumans will have, considering eugenics, gene modification, and the ultimate designing of entities and/or sentient beings, has already happened and is expressed via art and narrative experience as research. Transcending our biology to coexist with future world(s), including inter-dimensionally, is suggested as being inevitable when technological acceleration is viewed not linearly, but exponentially, especially considering quantum superintelligence(s). This research examines both the ethical lives of young people (extrapolated from recorded interviews) and of the author (through retrospective art and memory). It splices across generational divides, as well as past analogue and current/ future digitisation, compares young people today and in years gone by, also splicing human or posthuman survival as framed by the Anthropocene, (‘Anthrop’ meaning human and ‘cene’ meaning a geological period of time, in simple language, ‘The Human Era’), stemming out of compassion for nature and the living world, while conversing with young people about global catastrophic risks. An unexpected existential creative artefact(s) emerges through the methodologies of A/r/ tography, Arts-Based Research, Narrative Inquiry, otherwise referred to throughout as Living inquiry. This metaphorically mirrors ‘The Event Horizon’ of the technological singularity discussed within the data collection section, in which outcomes are and were impossible to predict. The metaphor of me talking to students about events unknowable past a technological singularity, or event horizon, is precisely what happened as my memories and art revealed themselves with the help of healers, and detailed in the creative component ‘A Splice of My Life.’ I have since learned that this idea can be attributed to Deleuze.