Dissertations / Theses: 'Artificial section'

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Sanchez, Maguiña Mildred Madeleine, and Feliz Pool Rusbel Vidal. "Optimización de las dimensiones de placas mediante el uso de IA para reducir los costos en edificios de 6 pisos en el distrito de Miraflores." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/652826.

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En el presente artículo se investiga la implementación de las Redes Neuronales Artificiales como un tipo de Inteligencia Artificial con la finalidad de reducir los costos de concreto armado. Por esto, se propuso el uso de este tipo de algoritmo con el objetivo de optimizar las secciones de los muros de corte en edificaciones de 6 pisos sin irregularidades. Se configuraron 10 redes neuronales distintas con el fin de elegir la que se adapte mejor a los datos empleados para el entrenamiento. En cada algoritmo se establecieron como variables de entrada el ancho y largo de la edificación; y la distancia entre luz máxima del eje X e Y. Sin embargo, el número de capas ocultas y el de neuronas en cada una de ellas fue distinto. En la etapa de entrenamiento se emplearon 30 casos con dimensiones optimizadas, con esto se obtuvo que la red neuronal predice la longitud total de la placa y su espesor con un error del 10%.
This article investigates the use of Artificial Neural Networks as a type of Artificial Intelligence in order to reduce the costs of reinforced concrete. For this reason, the use of this type of algorithm was proposed with the objective of optimizing the sections of the shear walls in 6-story buildings without irregularities. Ten different neural networks were configured in order to choose the one that best suits the data used for training. In each algorithm, the width and length of the building; and the distance between maximum span of the X and Y axis were established as input variables. However, the number of hidden layers and the number of neurons in each of them was different. In the training stage, 30 cases with optimized dimensions were used, with this it was obtained that the neuronal network predicts the total length of the shear wall and its thickness with an error of 10%.
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Szames, Esteban Alejandro. "Few group cross section modeling by machine learning for nuclear reactor." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASS134.

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Pour estimer la répartition de la puissance au sein d’un réacteur nucléaire, il est nécessaire de coupler des modélisations neutroniques et thermohydrauliques. De telles simulations doivent disposer des valeurs sections efficaces homogénéisées à peu de groupes d’énergies qui décrivent les interactions entre les neutrons et la matière. Cette thèse est consacrée à la modélisation des sections efficaces par des techniques académiques innovantes basées sur l’apprentissage machine. Les premières méthodes utilisent les modèles à noyaux du type RKHS (Reproducing Kernel Hilbert Space) et les secondes par réseaux de neurones. La performance d’un modèle est principalement définie par le nombre de coefficients qui le caractérisent (c’est-à-dire l’espace mémoire nécessaire pour le stocker), la vitesse d’évaluation, la précision, la robustesse au bruit numérique, la complexité, etc. Dans cette thèse, un assemblage standard de combustible UOX REP est analysé avec trois variables d’état : le burnup, la température du combustible et la concentration en bore. La taille de stockage des bibliothèques est optimisée en cherchant à maximiser la vitesse et la précision de l’évaluation, tout en cherchant à réduire l’erreur de reconstruction des sections efficaces microscopiques, macroscopiques et du facteur de multiplication infini. Trois techniques d’approximation sont étudiées. Les méthodes de noyaux, qui utilisent le cadre général d’apprentissage machine, sont capables de proposer, dans un espace vectoriel normalisé, une grande variété de modèles de régression ou de classification. Les méthodes à noyaux peuvent reproduire différents espaces de fonctions en utilisant un support non structuré, qui est optimisé avec des techniques d’apprentissage actif. Les approximations sont trouvées grâce à un processus d’optimisation convexe facilité par "l’astuce du noyau”. Le caractère modulaire intrinsèque de la méthode facilite la séparation des phases de modélisation : sélection de l’espace de fonctions, application de routines numériques, et optimisation du support par apprentissage actif. Les réseaux de neurones sont des méthodes d’approximation universelles capables d’approcher de façon arbitraire des fonctions continues sans formuler de relations explicites entre les variables. Une fois formés avec des paramètres d’apprentissage adéquats, les réseaux à sorties multiples (intrinsèquement parallélisables) réduisent au minimum les besoins de stockage tout en offrant une vitesse d’évaluation élevée. Les stratégies que nous proposons sont comparées entre elles et à l’interpolation multilinéaire sur une grille cartésienne qui est la méthode utilisée usuellement dans l’industrie. L’ensemble des données, des outils, et des scripts développés sont disponibles librement sous licence MIT
Modern nuclear reactors utilize core calculations that implement a thermo-hydraulic feedback requiring accurate homogenized few-group cross sections.They describe the interactions of neutrons with matter, and are endowed with the properties of smoothness and regularity, steaming from their underling physical phenomena. This thesis is devoted to the modeling of these functions by industry state-of-theart and innovative machine learning techniques. Mathematically, the subject can be defined as the analysis of convenient mapping techniques from one multi-dimensional space to another, conceptualize as the aggregated sum of these functions, whose quantity and domain depends on the simulations objectives. Convenient is intended in terms of computational performance, such as the model’s size, evaluation speed, accuracy, robustness to numerical noise, complexity,etc; always with respect to the engineering modeling objectives that specify the multidimensional spaces of interest. In this thesis, a standard UO₂ PWR fuel assembly is analyzed for three state-variables, burnup,fuel temperature, and boron concentration.Library storage requirements are optimized meeting the evaluation speed and accuracy targets in view of microscopic, macroscopic cross sections and the infinite multiplication factor. Three approximation techniques are studied: The state-of-the-art spline interpolation using computationally convenient B-spline basis, that generate high order local approximations. A full grid is used as usually donein the industry. Kernel methods, that are a very general machine learning framework able to pose in a normed vector space, a large variety of regression or classification problems. Kernel functions can reproduce different function spaces using an unstructured support,which is optimized with pool active learning techniques. The approximations are found through a convex optimization process simplified by the kernel trick. The intrinsic modular character of the method facilitates segregating the modeling phases: function space selection, application of numerical routines and support optimization through active learning. Artificial neural networks which are“model free” universal approximators able Artificial neural networks which are“model free” universal approximators able to approach continuous functions to an arbitrary degree without formulating explicit relations among the variables. With adequate training settings, intrinsically parallelizable multi-output networks minimize storage requirements offering the highest evaluation speed. These strategies are compared to each other and to multi-linear interpolation in a Cartesian grid, the industry standard in core calculations. The data set, the developed tools, and scripts are freely available under aMIT license

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Hou, Chuanchuan. "Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20434.

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Damage identification is an important topic in structural assessment and structural health monitoring (SHM). Vibration-based identification techniques use modal data to identify the existence, location and severity of possible damages in structures, often via a numerical model updating procedure. Among other factors influencing the practicality and reliability of a damage identification approach, two are of primary interest to this study. The first one concerns the amount and quality of modal data that can be used as ‘response’ data for the model updating. It is generally recognised that natural frequencies can be measured with relatively high accuracy; however, their number is limited. Mode shapes, on the other hand, are susceptible to larger measurement errors. Seeking additional modal frequency data is therefore of significant value. The second one concerns the errors at the numerical (finite element) model level, particularly in the representation of the effect of damage on the dynamic properties of the structure. An inadequate damage model can lead to inaccurate and even false damage identification. The first part of the thesis is devoted to enhancing the modal dataset by extracting the so called ‘artificial boundary condition’ (ABC) frequencies in a real measurement environment. The ABC frequencies correspond to the natural frequencies of the structure with a perturbed boundary condition, but can be generated without the need of actually altering the physical support condition. A comprehensive experimental study on the extraction of such frequencies has been conducted. The test specimens included steel beams of relatively flexible nature, as well as thick and stiffer beams made from metal material and reinforced concrete, to cover the typical variation of the dynamic characteristics of real-life structures in a laboratory condition. The extracted ABC frequencies are subsequently applied in the damage identification in beams. Results demonstrate that it is possible to extract the first few ABC frequencies from the modal testing in different beam settings for a variety of ABC incorporating one or two virtual pin supports. The inclusion of ABC frequencies enables the identification of structural damages satisfactorily without the necessity to involve the mode shape information. The second part of the thesis is devoted to developing a robust model updating and damage identification approach for beam cracks, with a special focus on thick beams which present a more challenging problem in terms of the effect of a crack than slender beams. The priority task has been to establish a crack model which comprehensively describes the effect of a crack to reduce the modelling errors. A cracked Timoshenko beam element model is introduced for explicit beam crack identification. The cracked beam element model is formulated by incorporating an additional flexibility due to a crack using the fracture mechanics principles. Complex effects in cracked thick beams, including shear deformation and coupling between transverse and longitudinal vibrations, are represented in the model. The accuracy of the cracked beam element model for predicting modal data of cracked thick beams is first verified against numerically simulated examples. The consistency of predictions across different modes is examined in comparison with the conventional stiffness reduction approach. Upon satisfactory verification, a tailored model updating procedure incorporating an adaptive discretisation approach is developed for the implementation of the cracked beam element model for crack identification. The updating procedure is robust in that it has no restriction on the location, severity and number of cracks to be identified. Example updating results demonstrate that satisfactory identification can be achieved for practically any configurations of cracks in a beam. Experimental study with five solid beam specimens is then carried out to further verify the developed cracked beam element model. Both forward verification and crack damage identification with the tested beams show similar level of accuracy to that with the numerically simulated examples. The cracked beam element model can be extended to crack identification of beams with complex cross sections. To do so the additional flexibility matrix for a specific cross-section type needs to be re-formulated. In the present study this is done for box sections. The stress intensity factors (SIF) for a box section as required for the establishment of the additional flexibility matrix are formulated with an empirical approach combining FE simulation, parametric analysis and regression analysis. The extended cracked beam element model is verified against both FE simulated and experimentally measured modal data. The model is subsequently incorporated in the crack identification for box beams. The successful extension of the cracked beam element model to the box beams paves the way for similar extension to the crack identification of other types of sections in real-life engineering applications.

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Fatima, Samar. "Mapping artificial intelligence affordances for the public sector." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235926/1/Samar%2BFatime%2BThesis.pdf.

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This thesis explores the affordances of artificial intelligence (AI) for the public sector. The thesis consists of three studies that answer what, why and how questions of AI affordance actualization in public sector using a combination of primary and secondary data sources. In this thesis, the affordance theory lens is used to explore AI affordance perception and actualization for the public sector through three related studies. The perception of AI affordance is investigated in the first two studies. The third study designed and evaluated artefact for public agencies to actualize AI affordance.

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Gomes, Cristina Maria da Silva Ganchinho. "Desafios da adoção de inteligência artificial no sector público." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/21099.

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Mestrado em Gestão de Sistemas de Informação
A transformação digital provocada pela introdução da Inteligência Artificial nos negócios, trouxe muitas vantagens competitivas às organizações, através da otimização de processos de trabalho, possibilidade de investimentos em novas áreas de Mercado, entre outros. A evolução tecnológica evidencia cada vez mais o papel da IA nesta crescente transformação digital sendo por isso importante compreender o seu efeito nas organizações e nas pessoas. Este estudo pretende identificar quais são os potenciais desafios que o Setor Publico enfrenta na adoção de tecnologias suportadas em IA. Para tal foi realizada uma investigação, de caracter exploratório, com recurso a entrevistas a gestores da área tecnológica de várias organizações do Sector Público. Foram realizadas cinco entrevistas com questões abertas onde se pretendeu responder a questões relacionadas com a decisão de adoção de IA. Os resultados do estudo demonstram que existe motivação para a adoção destas tecnologias, no entanto existem alguns constrangimentos que influenciam a adoção destas tecnologias, destacamos a falta de recursos humanos e a capacitação dos mesmos como sendo um dos maiores dos desafios.
The digital transformation brought by the introduction of Artificial Intelligence in business provided many competitive advantages to organizations, through the optimization of work processes, the possibility of investments in new business areas among others. Technological evolution increasingly highlights the role of AI in this growing digital transformation and therefore it is important to understand its effect on organizations and in people. This study aims to identify which are the potential challenges that the Public Sector faces in the adoption of technologies supported by AI. To achieve this goal, an exploratory investigation was carried out using interviews with managers in the IT area of distinct business areas of the Public Sector. Five interviews were conducted with open questions about the decision to adopt AI in organizations of the Public Sector. The results show that despite the motivation for the adoption of these technologies, there are some important constraints affecting this adoption, namely the lack of human resources and their training as one of the greatest challenges.
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Gustafsson, Victor. "Artificial intelligence effect on jobs in the financial sector." Thesis, Mittuniversitetet, Avdelningen för ekonomivetenskap och juridik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34247.

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Carbajal, Valverde Giuliana Mayte, and Correa Gianella Alejandra Segura. "Consecuencias positivas y negativas de la inteligencia artificial en el sector hotelero." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656854.

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La tecnología es un factor esencial pues transforma, influye y brinda grandes beneficios a la humanidad; dentro de ella destaca la inteligencia artificial, la cual en los últimos años ha sido de gran ayuda para diferentes rubros. Uno de ellos es el sector hotelero, el cual ha ido implementando en sus servicios la inteligencia artificial según las exigencias del mercado. La presente investigación se centra en determinar las consecuencias de la inteligencia artificial en el sector hotelero. Se analizará las consecuencias positivas y negativas de dicha tecnología y cómo se está implementando en la industria hotelera actualmente. El presente estudio se sustenta en la revisión de literatura de revistas científicas y tesis de grado. Asimismo, se utiliza el enfoque metodológico integrador, el cual sintetiza y examina la literatura encontrada sobre el tema a investigar para encontrar nuevas definiciones y perspectivas. Se obtuvo como hallazgo que el uso de la inteligencia artificial beneficia al sector hotelero de diferentes maneras, por ejemplo, automatizando servicios, reduciendo los tiempos y costos, entre otros. Asimismo, la mayoría de estudios se concentran en consecuencias positivas. En conclusión, la inteligencia artificial es de beneficio para el sector hotelero, ya que disminuye tiempos, reduce costos, y ayuda a obtener información valiosa para la toma de decisiones.
Technology is an essential factor because it transforms, influences, and provides great benefits to humanity; inside it, artificial intelligence stands out, which has been of great help to different areas in recent years. One of them is the hotel sector, which has been implementing artificial intelligence in its services according to market demands. This research work is focused on determining the consequences of artificial intelligence in the hotel sector. It will analyze this technology’s positive and negative aspects and how it is currently being implemented in the hotel industry. This study is based on the literature review of scientific journals and theses. Furthermore, this research uses the integrative methodological approach, which synthesizes and examines the literature to find new definitions and perspectives. In conclusion, the use of artificial intelligence benefits the hotel sector in different ways, for example, automating services, reducing time and costs, among others. In conclusion, artificial intelligence is beneficial for the hotel sector, since it reduces time, reduces costs, and helps to obtain valuable information for decision-making.
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Amaro, Jorge Filipe Montez Vaz Monteiro. "Modelos de avaliação em massa : redes neuronais artificiais aplicadas ao sector imobiliário residencial em Portugal? : estudo de caso na cidade de Lisboa." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10737.

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Mestrado em Gestão e Avaliação Imobiliária
As redes neuronais artificiais são uma metodologia alternativa aos modelos tradicionais de previsão. A sua utilização tem-se vindo a massificar, sobretudo nas áreas da medicina, finanças, indústria automóvel e, mais recentemente em modelos de avaliação em massa aplicados ao mercado imobiliário. Este trabalho teve como objectivo fundamental a realização de experiências que utilizassem esta metodologia de previsão não paramétrica (não linear). No estudo de caso apresentado, foram analisadas 2.013 transacções, que ocorreram entre 2007 e 2012, mediadas pela rede de franchisados RE/MAX, relativas ao segmento residencial na cidade de Lisboa. Com esta base de dados, e depois de encontrada a melhor rede neuronal, foi possível obter um erro médio percentual absoluto (MAPE) na ordem dos 19%, em que para cerca de 67% da amostra foi alcançado um erro de estimação abaixo dos 20%. Utilizando esta metodologia, também foi observado que a rede neuronal funciona melhor se eliminados os outliers da amostra, aumentando a sua precisão. Foi ainda experimentada a introdução de variáveis temporais e de localização, tais como o ano de transacção de um determinado imóvel e a sua idade, ou ainda a freguesia onde está inserido, tendo sido obtidos comportamentos positivos no desempenho das redes. Para além da originalidade do tema, é de destacar que foram utilizados para este trabalho, valores reais de transacção relativos ao sector residencial em Portugal, tendo sido verificada uma aproximação do comportamento e da tendência do valor de transacção estimado pela rede, aos verificados pelo mercado.
The artificial neural networks are an alternative approach to traditional forecasting. Its use has been largely used, particularly in the areas of medicine, finance, automotive, and more recently in mass valuation models applied to the real estate market. This work had as main objective conducting experiments that used this methodology to forecast nonparametric (nonlinear). In the case study were analyzed 2013 transactions that occurred between 2007 and 2012, mediated by the network of franchisees RE / MAX, for the residential segment in Lisbon. With this database, and after found the best neural network, it was possible to obtain an mean absolute percent error (MAPE) of around 19%, in which to approximately 67% of the sample was reached estimation error below 20 %. Using this methodology, it was also observed that the neural network works better if the outliers are removed from the sample, increasing its accuracy. It also experienced the introduction of temporal variables and location, such as the year of a particular property transaction and its age, or the parish where it is located, having obtained positive behaviors in network performance. Beyond the originality of the subject, it is worth noting that was used for this work, actual transaction values for the residential sector in Portugal, having been verified an approximation of the behavior and trend of the transaction value estimated by the network, verified by the market.

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Mendieta, Retuerto Carlos Andres. "El uso del Chatbot con respecto a la satisfacción del cliente en empresas del sector financiero en Lima Metropolitana." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/651915.

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La tecnología ha ido evolucionando durante los últimos años. La inteligencia artificial ha conseguido entrar en los mercados de todo el mundo como una nueva tecnología y nueva forma de ver el mundo. Es por ello, quen este estudio se explora las dimensiones del chatbot, que son tres: Calidad de la información, calidad del sistema y calidad del servicio en relación a la satisfacción del cliente en el sistema financiero en Lima Metropolitana. Este estudio está dividido en dos partes: un estudio cualitativo y uno cuantitativo. En la parte cualitativa, en donde se buscó la opinió de tres expertos del tema y, asimismo, se realizaron tres focus group. Con respecto al estudio cuantitativo, se usó una muestra de 250 personas. Los datos analizados sugieren que existe una relación entre las dimensiones del chatbot y la satisfacción del cliente, pero dicha relación es negativa muy baja.
Technology has been evolving in recent years. Artificial intelligence has managed to enter markets around the world as a new technology and a new way of seeing the world. That is why, in this study, the dimensions of the chatbot are explored, which are three: Information quality, system quality and service quality in relation to customer satisfaction in the financial system in Metropolitan Lima. This study is divided into two parts: a qualitative and a quantitative study. In the qualitative part, where the opinion of three experts of the subject was sought and, likewise, three focus groups were carried out. With respect to the quantitative study, a sample of 250 people was used. The data analyzed suggest that there is a relationship between the dimensions of the chatbot and customer satisfaction, but this relationship is very low negative.
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Kloub, Maha, and Annika Gerigoorian. "A Cross-Sectional Technology Acceptance Study of an AI CAD System in a Breast Screening Unit." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299859.

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In January 2021, one of the first large-scale implementations of an artificial intelligent computer-aided detection system (AI CAD) for detecting breast cancer was implemented at Capio S:t Göran hospital in Stockholm. AI CAD for detecting breast cancer is promising, however, it can only be a successful implementation if it is accepted by the end-users. This study examines and evaluates factors critical to the acceptance of the AI CAD, prior to the radiology professionals using it by applying the third version of the Technology Acceptance Model, that is TAM3. A questionnaire was designed and distributed accordingly to 28 professionals at the hospital’s breast screening unit. The quantitative data collected were further analyzed using the statistical tool SPSS. The empirical findings concluded that the intention to use the AI CAD was influenced directly by the perceived usefulness and indirectly by image, job relevance, and perceived ease of use. In addition, the association between subjective norm and image was shown to be significant. This study further revealed two new associations, contrary to what TAM3 postulates, the first one being between image and behavioral intention and the second one being between job relevance and behavioral intention. Organizational support, system-related activities, and information and communication are interventions suggested based on the findings in this study, in which the breast screening unit at S:t Göran should tap into to enhance the acceptance of the AI CAD system.
I januari 2021, implementerades ett artificiellt intelligent datorstött detektionssystem som ska upptäcka bröstcancer på Capio S:t Görans sjukhus i Stockholm. Användning av AI CAD för att upptäcka bröstcancer är lovande, men det kan endast bli en framgångsrik implementering om det accepteras av de som använder systemet. Denna studie undersöker och utvärderar de initiala faktorer som är avgörande för användaracceptansen av AI CAD hos radiologipersonal genom att utgå från den senaste versionen av teknologiacceptansmodellen – Technology Acceptance Model 3 (TAM3). Ett frågeformulär utformades i enlighet med modellen och distribuerades till 28 yrkesverksamma på S:t Görans mammografiavdelning. Den kvantitativa data som samlades in från enkäten analyserades med hjälp av det statistiska verktyget SPSS. De empiriska resultaten visade att radiologipersonalens avsikt att använda AI CAD påverkades direkt av den upplevda användbarheten av systemet och indirekt av personalens upplevda syn på hur enkelt systemet är att använda, att systemet är relevant för personalens jobb samt att systemet kan höja personalens image. Dessutom bekräftade studien att den subjektiva normen påverkar systemets image. Slutligen upptäcktes två nya associationer, i vilken TAM3 inte antar. Dessa påträffades mellan image och den beteendemässiga intentionen till att använda systemet samt mellan jobbrelevansen och den beteendemässiga intentionen till att använda systemet. Organisationsstöd, systemrelaterade aktiviteter samt information och kommunikation med personal är interventioner som föreslås baserat på resultaten i denna studie som mammografiavdelningen på S:t Görans sjukhus bör utnyttja för att öka acceptansen av AI CAD systemet.

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Drobotowicz, Karolina. "Guidelines for Designing Trustworthy AI Services in the Public Sector." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291108.

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Artificial Intelligence (AI) is a popular topic in different areas of the current world. Thus, it is natural that its use is considered in the public sector. AI brings many opportunities for public institutions and citizens, like more attractive, accessible and flexible services. However, existing stories also show that the unethical or opaque use of AI can reduce significantly citizens’ trust in responsible public institutions. As it is important to maintain such trust, trustworthy AI services are gaining more and more interest. This work aims to answer the question of what needs to be taken into consideration while designing trustworthy public sector AI services. The study was done in Finland. The design process was used as a study method and it consisted of qualitative interviews, design workshop and validation with user testing. Altogether more than 30 Finnish residents participated in the study. Currently, there are more positive than negative voices about the usage of AI in the public sector, however, the number of the latter is significant. The most negative voices were coming from older people of low education and from younger AI specialists. Moreover, strong trust exists in the public sector. Nevertheless, citizens are voicing multiple concerns, such as security or privacy. It is important to keep the public sector services transparent, in order to keep trust in the public sector and build trust in AI. Citizens need to know when AI is used, how and for what purpose, as well as, what data is used and why they receive specific results. Citizens’ needs and concerns, as well as ethical requirements, ought to be addressed in the design and development of trustworthy public sector AI services. Those are, for example, mitigating discrimination risks, providing citizens with control over their data and having a person involved in AI processes. Designers and developers of trustworthy public sector AI services should aim to understand citizens and ensure them about their needs and concerns being met, through the transparent service and the positive experience of using the service.
Artificiell intelligens (AI) är ett populärt ämne inom olika områden i världen. Således är det naturligt att dess användning beaktas i den offentliga sektorn. AI ger många möjligheter för offentliga institutioner och medborgare, som till exempel, mer attraktiva, tillgängliga och flexibla tjänster. Men befintliga berättelser från användare visar också att oetisk eller ogenomskinlig användning av AI kan avsevärt minska medborgarnas förtroende för ansvariga offentliga institutioner. Eftersom det är viktigt att upprätthålla ett sådant förtroende, får pålitliga AI-tjänster mer och mer intresse. Detta arbete syftar till att svara på frågan om vad som måste beaktas vid utformningen pålitliga AI-tjänster inom offentlig sektor. Studien gjordes i Finland. Forskningsmetoden som användes var en designprocess och den bestod av kvalitativa intervjuer, en design workshop samt validering med användartestning. Sammanlagt deltog mer än 30 finländska invånare i studien. För närvarande finns det mer positiva än negativa röster om användningen av AI i den offentliga sektorn, dock är antalet i den senare kategorin betydande. De mest negativa rösterna kommer från äldre personer med låg utbildning och från yngre AI-specialister. Dessutom finns starkt förtroende för den offentliga sektorn. Ändå uttryckte medborgarna flera problem, såsom säkerhet eller integritet. Det är viktigt att offentliga tjänster är transparenta för att behålla förtroendet för den offentliga sektorn och bygga förtroende för AI. Medborgarna behöver veta när AI används, hur och i vilket syfte samt vilka uppgifter som används och varför de får specifika resultat. Medborgarnas behov och bekymmer, såväl som etiska krav, borde tas upp i utformningen och utvecklingen av en pålitlig AI-tjänster i offentlig sektor. Exempelvis genom att mildra diskrimineringsrisker, ge medborgare kontroll över sina uppgifter och att ha en person involverad i AI processer. Utformare och utvecklare av pålitliga AI-tjänster inom offentlig sektor bör syfta till att förstå medborgarna och säkerställa dem om deras behov och bekymmer genom den transparenta tjänsten och den positiva upplevelsen att använda tjänsten.

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Calligola, Francesca. "Systemic models for supporting flood warning procedures in river sections with no rating curves: application to a set of Emilia-Romagna watersheds." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14293/.

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The present work analyses the possibilities offered by the implementation of artificial neural networks (ANNs) for the flood warning purpose. In particular, four river basins located in the Emilia-Romagna region have been selected, analysing the forecast performances of the models at each lead-time from +1 to +18 hours. Specifically, the models, run at hourly time-scale, have been calibrated considering as input variables past river levels and past and future precipitation values. The ANN calibration has been done considering continuous simulation periods (therefore including peak, average and low flow regimes). In a first phase the models selected for each case study have been evaluated according to the Nash-Sutcliffe efficiency in order to understand the general behavior of the ANNs. Secondly, a further assessment is added considering the skill score indices (POD, FAR, ETS) of the exceedance of the assigned flood thresholds; in this way, it is possible to understand the reliability of the ANNs for flood warning purposes. For this second evaluation, ANN models which make use only of the past river levels hence with no precipitation input values, are included in the analysis as an additional standard of reference. Considering the simulation results on all the basins, the Nash-Sutcliffe efficiency highlighted acceptable results for all the forecasting lead-times (1 to 18 hours). On the other hand, the skill score indexes on the exceedance of the flood thresholds are satisfactory only over shorter time-horizons.

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Villón, Cabrera Nicole. "Inteligencia Artificial aplicada al marketing: Impacto del uso de Chatbots Cognitivos en la satisfacción del cliente del sector bancario." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/652700.

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Hoy en día, vivimos en un mundo digitalizado, donde cada vez más las empresas intentan brindar mejores servicios para diferenciarse entre unas y otras. De esta manera, los chatbots permiten atender las consultas de los clientes y brindar un servicio diferente. En esta investigación, se analiza el uso de chatbots en el sector bancario peruano y cómo impacta en la satisfacción del cliente. Además, se observa el efecto que tiene la calidad de servicio, calidad de información y facilidad de uso. Los datos fueron recolectados de 250 encuestados. Los resultados proporcionan una visión a los bancos para poder fortalecer la satisfacción de sus clientes a través de los chatbots.
Nowadays, we live in a digitized world, where more and more companies try to provide better services to differentiate between them. In this way, chatbots allow to answer customer queries and provide a different service. In this research, I analyze the use of chatbots in the Peruvian banking sector and how it impacts customer satisfaction. In addition, the effect of quality of service, quality of information and ease of use is observed. Data was collected from 250 respondents. The results allowed a vision for the banks to be able to strengthen the satisfaction of their clients through chatbots.
Trabajo de investigación

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Zanetti, Fernando Luiz [UNESP]. "A condição da artee os novos paraísos artificiais." Universidade Estadual Paulista (UNESP), 2007. http://hdl.handle.net/11449/97630.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Esta pesquisa parte da problemática relacionada às condições de formação estética do homem contemporâneo e aos lugares da arte em nossa atualidade. Pudemos constatar que há uma grande quantidade de instituições públicas e privadas – ONGs (Organizações Não- Governamentais), escolas, hospitais, centros de recuperação de viciados em drogas – que praticam atividades artísticas com objetivos específicos da sua área de atuação, ora com fins terapêuticos, ora com fins pedagógicos e psicológicos, ora com fins políticos de promoção da cidadania. Essas atividades são intituladas pelas diversas práticas sociais como oficinas artísticas ou culturais. Nesse sentido, nosso trabalho delimita as oficinas como um dispositivo no qual a arte se torna uma das estratégias do capital para controle da população. No interior desse dispositivo são propostas finalidades para o homem, para o mundo e para a arte. No que concerne à arte, essas finalidades são criadas na mediação que as diversas instituições realizam entre o público e as obras. Essa mediação faz da arte um instrumento de interpretação que lhe retira sua potência de criar condições de diferenciação para o mundo e para a vida humana. Nesse lugar, a arte perde sua condição de nos fazer acreditar na potência ilimitada de inventar mundos e outras realidades sensíveis. Palavras-Chave: Arte; Oficinas; Terceiro Setor; Organizações Não-Governamentais; Controle Social.
This research is based on the issues related to the conditions of aesthetic formation of the contemporary man and the role of art in our days. We could observe that a large number of public and private institutions – Non-Governmental Organizations (NGO’s), schools, hospitals and recovering centers for drug addicts – offer some art activities aiming at specific goals in their field of work , contemplating therapeutic, educational or psychological purposes or even political purposes for citizenship promotion. These activities are considered and called artistic or cultural workshops. In this sense, our work restricts these workshops to a device where art becomes a strategy used by the capitalist system with the aim of controlling the population. Through this device proposals are made having in mind men, the world and art. Concerning art, these proposals can be observed in the mediation several institutions perform between the public and the works of art. Such mediation transforms art into an interpretative tool thus destroying its creative power of differentiation to the world and to human life. Therefore, art loses its ultimate objective, that is, the ability to make us believe in the unlimited power of inventing new worlds and other sensitive realities.

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Jensen, Linn. "Artificial intelligence in the public sector : A study of the perceptions of AI in a municipal department and their effects." Thesis, Umeå universitet, Institutionen för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172923.

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The public sector has opened its eyes to the possibilities of artificial intelligence (AI) transforming and streamlining their organizations. However, they are lagging behind the private sector organizations in competency, knowledge, as well as resources, and have difficulties implementing any type of change. While there are studies on change within public sector, along with AI use in such organizations, there is a lack of research concerning perceptions of AI in public organizations, and organizational analysis based on those perceptions. This study aims to address this gap, by studying a department within Umeå Municipality with technology determinism and instrumentalism in mind, examining their attitudes and views of AI, and how those may affect a future implementation. The findings made through the study involve a thorough analysis, showing both deterministic and instrumentalist views, coming from both the municipality and the department. While there is a lack of competency and resources, the employees show an understanding, a need, and motivation for including AI and other digital tools in their work. The study describes possible approaches the department can take, and has contributed to the beginning of filling the mentioned research gap.

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Benguira, Audrey Shoshana. "International cooperation in the private satellite communications sector : enhancing commercial exploitation of outer space." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=78202.

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Even though international cooperation traditionally is a concept encountered in public international law, it has an important role to play in the private satellite communications sector. Satellite communications being activities that intrinsically have a global outreach, mutatis mutandis they require legal rules that would not focus on purely regional or local interests. National and international space law have for the past decade encountered criticism with respect to obvious insufficiencies that in turn affected space activities. The first reaction of learned space lawyers was to call for some redrafting of international space law. A second thought about it had them take into account national legislation in this possible harmonization process, but in any case this was to primarily be of concern for States.
However, the new millennium has brought its share of intellectual renewal and in the field of space law it has been translated in the acknowledgement that the private sector would have an important role to play, on the international scene, for the improvement of space law. It is this new legal thinking that has been characterized as "international cooperation" as applied to the private sector, that is the subject of this study. Hence, what is looked at is the position of the satellite communications sector on the international scene and what expertise it has to share with public fora for the overall improvement of space law and space activities.

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Zanetti, Fernando Luiz. "A condição da artee os novos paraísos artificiais." Assis : [s.n.], 2007. http://hdl.handle.net/11449/97630.

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Orientador: Sônia Aparecida Moreira França
Banca: Carlos Eduardo Jordão Machado
Banca: Julio Roberto Groppa Aquino
Resumo: Esta pesquisa parte da problemática relacionada às condições de formação estética do homem contemporâneo e aos lugares da arte em nossa atualidade. Pudemos constatar que há uma grande quantidade de instituições públicas e privadas - ONGs (Organizações Não- Governamentais), escolas, hospitais, centros de recuperação de viciados em drogas - que praticam atividades artísticas com objetivos específicos da sua área de atuação, ora com fins terapêuticos, ora com fins pedagógicos e psicológicos, ora com fins políticos de promoção da cidadania. Essas atividades são intituladas pelas diversas práticas sociais como oficinas artísticas ou culturais. Nesse sentido, nosso trabalho delimita as oficinas como um dispositivo no qual a arte se torna uma das estratégias do capital para controle da população. No interior desse dispositivo são propostas finalidades para o homem, para o mundo e para a arte. No que concerne à arte, essas finalidades são criadas na mediação que as diversas instituições realizam entre o público e as obras. Essa mediação faz da arte um instrumento de interpretação que lhe retira sua potência de criar condições de diferenciação para o mundo e para a vida humana. Nesse lugar, a arte perde sua condição de nos fazer acreditar na potência ilimitada de inventar mundos e outras realidades sensíveis. Palavras-Chave: Arte; Oficinas; Terceiro Setor; Organizações Não-Governamentais; Controle Social.
Abstract: This research is based on the issues related to the conditions of aesthetic formation of the contemporary man and the role of art in our days. We could observe that a large number of public and private institutions - Non-Governmental Organizations (NGO's), schools, hospitals and recovering centers for drug addicts - offer some art activities aiming at specific goals in their field of work , contemplating therapeutic, educational or psychological purposes or even political purposes for citizenship promotion. These activities are considered and called artistic or cultural workshops. In this sense, our work restricts these workshops to a device where art becomes a strategy used by the capitalist system with the aim of controlling the population. Through this device proposals are made having in mind men, the world and art. Concerning art, these proposals can be observed in the mediation several institutions perform between the public and the works of art. Such mediation transforms art into an interpretative tool thus destroying its creative power of differentiation to the world and to human life. Therefore, art loses its ultimate objective, that is, the ability to make us believe in the unlimited power of inventing new worlds and other sensitive realities.
Mestre

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18

Ivorra, Martínez Eugenio. "Desarrollo de técnicas de visión hiperespectral y tridimensional para el sector agroalimentario." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48541.

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En la industria alimentaria, como en cualquier otra industria, la mejora de sus procesos productivos es un factor clave para mantener su competitividad e incrementar sus beneficios. Para cumplir este objetivo es necesario incorporar nuevos métodos que mejoren la calidad y eficiencia de estos procesos. Además, en los alimentos actuales cada vez hay una mayor distancia entre el lugar de producción del alimento y el lugar donde se consume aumentando las posibilidades de que se contamine o exista una incertidumbre acerca de su estado. Esto exige sistemas de calidad que puedan inspeccionar el 100% de los alimentos de una forma económica y no destructiva. En esta tesis se propone utilizar para ello técnicas hiperespectrales y tridimensionales. Se ha hecho una revisión del estado del arte de las diferentes técnicas de obtención de información tridimensional así como de sus usos en la industria alimentaria. En base a ello, se han seleccionado las técnicas basadas en luz estructurada (SL), estéreo-visión y tiempo de vuelo (TOF) como las técnicas más apropiadas. Se ha realizado una comparativa entre SL y TOF para la medida en línea de producción de 3 alimentos de origen animal y 3 de origen vegetal. De este estudio se concluye que ambas técnicas son válidas teniendo unos R2 CV medios de 0.85 el TOF y de 0.94 el SL para estimar el volumen de las muestras. Se profundizó en el estudio de SL mediante la resolución del problema de segmentación de raíces en tubérculos. Se trata de un problema difícil de resolver por técnicas clásicas de visión por computador en 2D debido a que las raíces tienen un color muy parecido a los tubérculos. Este problema se resolvió utilizando un modelo Adaboost que clasificó los puntos tridimensionales en raíces o puntos de superficie basándose en un vector de descriptores 3D. En este estudio, se llegó a alcanzar un porcentaje de acierto del 94%. Otro problema resuelto fue la determinación de la compacidad de racimos de uva basándose en descriptores 3D usando técnicas de estéreo visión. Se trata de un componente de calidad complicado de estimar debido al problema de subjetividad ya que actualmente se realiza de forma manual por un panel de expertos siguiendo el descriptor de la OIV Nº204. El método semi-automático desarrollado utiliza nuevos descriptores 3D y un modelo SVM, obteniendo un R2 en predicción de 0.8 para 100 racimos de 10 variedades diferentes. Por otro lado, se ha desarrollado una metodología para la obtención de resultados a partir de imágenes hiperespectrales. Esta metodología se ha aplicado en 3 casos prácticos de diferentes alimentos para medir su frescura, entendiendo frescura como el grado de deterioro de los alimentos respecto a la calidad inicial de los mismos. La frescura actualmente se estima de forma analítica como una combinación de una serie de análisis físico-químicos destructivos. Mediante la captura de imágenes hiperespectrales en el rango SW-NIR se estimó la frescura de los siguientes alimentos en sus envases comerciales con distintos tipos de procesado: pechugas de pollo fileteadas, pavo cocido, jamón cocido y salmón ahumado. Se empezó con la aplicación básica de la metodología desarrollada en el pavo y el jamón cocidos donde se consiguieron unos resultados medios de validación cruzada de R2 0.93 y de 0.9 respectivamente utilizando dos modelos PLSDA para correlar el tiempo con los espectros adquiridos. El siguiente caso práctico se realizó en pechugas de pollo, donde se amplió la metodología básica efectuando una selección de longitudes de onda mediante el algoritmo IPLSDA que redujo de 54 a 13 las variables al mismo tiempo que mejoró los resultados de los modelos PLSDA para estimar la frescura de R2 CV 0.77 a 0.85. También se estudió la influencia del film en cuanto al análisis de frescura con técnicas hiperespectrales, donde se concluyó que éste únicamente atenúa el espectro sin afectar a los resultados. En el último caso práctico se determinó si el salmón ahumado estaba caducado mediante imágenes hiperespectrales. Este caso se enfocó en la fase de segmentación espacial donde se obtuvo los espectros del tejido magro y del tejido graso por separado. Para ello se transformó la imagen hiperespectral a una imagen 2D en RGB empleando un modelo calculado del sistema hiperespectral. Una vez transformadas a imágenes 2D, se segmento la imagen mediante un algoritmo basado en segmentación por color. Se obtuvo un resultado de R2 CV=0.83 con la segmentación espacial propuesta. En este estudió se demostró la necesidad de realizar una buena segmentación espacial en los casos en que las muestras no son homogéneas como es el caso de los diferentes tejidos del salmón. La principal aportación de la tesis es la metodología desarrollada para la combinación de técnicas 3D e hiperespectrales en el sector alimentario. La gran ventaja que se consigue con estos nuevos procedimientos es disponer de una resolución espacial elevada mediante las técnicas 3D y una muy buena resolución espectral con las técnicas hiperespectrales. En esta tesis se presentan dos de las muchas posibilidades de unir ambas técnicas. En la primera de ellas se analizó la información tridimensional del proceso de fermentación de masas de harina. Esta información tridimensional se empleó para distinguir entre harinas supuestamente iguales (según los análisis realizados en la industria) que se comportaron de forma distinta durante la fermentación. Mediante la metodología desarrollada que emplea ambas técnicas, se consiguió predecir a partir de la información hiperespectrales el comportamiento dinámico que tuvo la muestra durante la fermentación. El conocimiento de este comportamiento es de gran interés puesto que por ejemplo permite ahorrar dinero agrupando muestras con tiempos similares de fermentación o seleccionando mejor la materia prima. El segundo caso donde se investigó y desarrolló esta conjunción de técnicas se basó en aprovechar la gran resolución espacial obtenida de las técnicas 3D. Concretamente, se utilizó en la fase de segmentación espacial al procesar imágenes hiperespectrales de dorada. El objetivo de la segmentación en base a la información tridimensional fue obtener la información espectral de zonas específicas del pescado como los ojos donde se puede estimar mejor la frescura. Los resultados de R2 CV fueron de 0.844 al correlacionar los espectros obtenidos de los ojos con el tiempo mediante un PLSDA. El desarrollo de estas técnicas tendrá un gran impacto en la industria agroalimentaria en un futuro próximo, ya que supone una clara innovación tecnológica respecto a realizar análisis físico-químicos destructivos en un subconjunto de las muestras. Estas técnicas permiten realizar el control de calidad y de seguridad de todas las muestras de forma no destructiva mejorando por tanto la calidad, rapidez, seguridad, fiabilidad y coste de los diferentes procesos de la industria alimentaria.
Ivorra Martínez, E. (2015). Desarrollo de técnicas de visión hiperespectral y tridimensional para el sector agroalimentario [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/48541
TESIS

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Samuelsson, Karin, and Ellen Hultberg. "Kommunal redovisning : förekomsten av artificiell resultatstyrning i kommuner." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12610.

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Denna studie behandlar förekomsten av resultatstyrning i svenska kommuner. Tidigare forskning visar på att styrning främst tar form av periodiseringar samt att de främsta förklarande faktorerna för förekomsten är ekonomi, politik och tjänstemän. Existerande teori menar på att övergången från kassabaserad redovisning till bokföringsmässiga grunder underlättade resultatstyrning och att det förekommer både i kommuner och företag i Sverige.Undersökningen syftar till att förklara förekomsten av resultatstyrning i kommuner med hjälp av posten “bidrag till statlig infrastruktur”. I analysen ifrågasätts användandet av resultatstyrning, vilka incitament som finns samt hur dess incitament påverkar beslutprocessen.Studien är en dokumentstudie och har genomförts som en kvantitativ analys. Det empiriska materialet har främst samlats in från kommuners årsredovisningar. Flera statistiska analyser genomförs och leder fram till studiens resultat. Resultaten visar på att resultatstyrning förekommer i kommuner och att det främst är kortsiktiga incitament som styr besluten. Tiden som kommuner väljer att periodisera bidragen på beror främst på hur stora beloppen på bidragen som lämnas är samt om kommunen har mottagit stora engångsbelopp i form av till exempel AFA-försäkringar, AFA-premier eller konjunkturstöd från staten de åren eller inte.
This thesis is an analysis of the occurrence of earnings management in Swedish municipalities. Previous theory claims that the change from cash accounting to accrual accounting has made it easier to involve in earnings management actions and that these actions are broadly used in both municipalities and corporate companies. Similar studies proves economy, politics and civil servants to be explanatory for why earnings management takes place in municipalities.We seek to explain this occurrence by using the accounting record contribution to national infrastructure. The aim is to answer what the main incentives are for manipulating the results in municipalities and how these incentives affect the decision making progress.This is mainly a documentary study that focuses on the public financial reports of municipalities. A statistical analysis is performed and conclusions are drawn. We find evidence that earnings management exist in municipalities and that the biggest explaining factor of how the contribution is accounted for depend on the size of the contribution to infrastructure and if the municipality has received any big amounts from the government in form of AFA-insurances, AFA-premier or cyclical support that year or not. This indicates a short-term thinking with high focus on net income. This study is hereafter written in Swedish.

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Galarreta, Velarde Anibal Antonio, and Aylas Edgard Martin Marquez. "Sistema de gestión de inventarios en la producción de autotransformadores eléctricos para electrodomésticos en PYMES del sector manufactura usando machine learning." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656319.

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El uso de machine learning como disciplina científica en el ámbito de la inteligencia artificial aplicada al campo de la industria manufacturera presenta ventajas como la obtención de predicciones y estimaciones basadas en la recopilación electrónica de información y la experiencia adquirida durante los procesos industriales. En ese sentido, el presente trabajo tiene como objetivo proporcionar una propuesta de arquitectura y diseño de un sistema de información para la gestión de inventarios con uso de machine learning como solución para optimizar la duración del proceso manufacturero de autotransformadores eléctricos para electrodomésticos en PYMES. Entre los problemas del proceso de manufactura se encuentran la ausencia de stock de insumos necesarios para la fabricación de productos, demoras en su obtención y ausencia de información oportuna que permita prever tanto la cantidad necesaria de insumos para un proceso de producción como la estimación de la demanda de pedidos de lotes de producción. El trabajo realizado comprende el estudio del negocio, análisis y modelado del proceso de manufactura para la identificación del problema, análisis de los requerimientos, modelado del proceso optimizado, diseño de la arquitectura de software para la solución informática propuesta, así como la gestión del proyecto. Como resultado se logra aplicar machine learning en la gestión de inventarios para el proceso de manufactura que permite predecir requerimientos de compra de insumos de producción, alertar el mejor momento para realizar pedidos a proveedores, estimar la demanda de productos, estimar la producción, así como generar reportes de gestión de los insumos y el proceso productivo.
The use of machine learning as a scientific discipline in the field of artificial intelligence applied to the field of manufacturing industry has advantages such as obtaining predictions and estimates based on the electronic collection of information and the experience acquired during industrial processes. In this sense, the present work aims to provide an architecture and design proposal for an information system for inventory management with the use of machine learning as a solution to optimize the duration of the manufacturing process of electrical autotransformers for household appliances in SMES. Among the problems of the manufacturing process are the stock absence of necessary supplies for the manufacture of products, delays in obtaining them and the absence of timely information that allows forecasting both the necessary amount of supplies for a production process and the estimation of demand for orders for production batches. The work carried out includes the study of the business, analysis and modeling of the manufacturing process to identify the problem, analysis of the requirements, modeling of the optimized process, design of the software architecture for the proposed IT solution, as well as project management. As a result, it is possible to apply machine learning in inventory management for the manufacturing process that allows predicting requirements for the purchase of production supplies, alerting the best time to order from suppliers, estimating product demand, estimating production, as well as generate reports on the management of supplies and the production process.
Tesis

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Corrêa, Fernanda. "Aplicação de redes neurais artificiais no setor de transportes no Brasil." Universidade Federal de São Carlos, 2008. https://repositorio.ufscar.br/handle/ufscar/4257.

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Universidade Federal de Sao Carlos
The development of Artificial Neural Networks in the Brazilian´s Sector of Transports comes carrying through great done in what it refers to the promotion of the use of the technique in the solution of problems found in this area. Artificial Neural Networks are computational techniques with capacity to simulate the cerebral activity human being, making future forecasts from the analysis of data. This technique, throughout the years comes greatly stimulating the research in planning of transports in such a way in the exterior how much in Brazil. As objective, this work brings an exploratory research, trying to lift the state of the art of the use and application of the technique Artificial Neural Networks in the Section of Transports in Brazil, drawing a comparison of what has been accomplished at the developed countries and in Brazil. In Brazil, the ANNs had started to be developed in the Sector of Transports for return of the years of 1990, today, the research in this area is generating important works very for the planning of transports, however, the technique of Artificial Neural Networks still has much to be improved better to be used as administrative tools in the country.
O desenvolvimento das Redes Neurais Artificiais no Setor de Transportes no Brasil vem realizando grandes feitos no que tange o fomento da utilização da técnica na solução de problemas encontrados nesta área. As Redes Neurais Artificiais são técnicas computacionais com capacidade de simular a atividade cerebral humana, fazendo previsões futuras a partir da análise de dados. Essa técnica, ao longo dos anos vem estimulando grandemente as pesquisas em planejamento de transportes tanto no exterior quanto no Brasil. Como objetivo, este trabalho traz uma pesquisa exploratória, procurando-se levantar o estado da arte do uso e aplicação da técnica Redes Neurais Artificiais no Setor de Transportes no Brasil, traçando uma comparação do que vem sendo realizado nos países desenvolvidos e no Brasil. No Brasil, as RNAs começaram a ser desenvolvidas no Setor de Transportes por volta dos anos de 1990, hoje, as pesquisas nesta área estão gerando trabalhos muito importantes para o planejamento de transportes, no entanto, a técnica de Redes Neurais Artificiais ainda tem muito a ser aprimorada para melhor ser utilizados como ferramentas administrativas no país.

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López, Malca Jiam Carlos. "Comparación de modelos de aprendizaje de máquina en la predicción del incumplimiento de pago en el sector de las microfinanzas." Master's thesis, Pontificia Universidad Católica del Perú, 2019. http://hdl.handle.net/20.500.12404/19546.

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Las instituciones financieras dedicadas a las Microfinanzas brindan sus servicios a un público objetivo que en su mayoría presentan bajos recursos económicos y/o cuyo acceso a los sistemas bancarios tradicionales es limitado, estas instituciones al desarrollarse en un contexto poco favorable los riesgos de incumplimiento en los pagos son mayores en comparación a la banca tradicional. Por tanto, se exige hacer una evaluación económica financiera con mayor grado de detalle, requiriendo para tal fin la participación de un experto del negocio que basado en información obtenida y pericia propia determine si el potencial cliente será un buen pagador. Esta forma de evaluar a un cliente ha evolucionado en el sector financiero en los últimos años, esto debido en gran medida a la aplicación de tecnologías como la inteligencia artificial y el aprendizaje de máquina, ofreciendo una singularidad que es la capacidad de aprender de los datos, demandando menos esfuerzo y participación humana, y redituando mayores niveles de precisión. Se presentan en este artículo los resultados de la experimentación realizada con los siguientes modelos de aprendizaje de maquina: Regresión Logística, XGBoost, Random Forest, Gradient Boosting, Perceptron Multicapa (MLP) y algoritmos de aprendizaje profundo para la predicción del incumplimiento de pagos, aplicándose técnicas de balanceo de submuestreo y sobremuestreo, incluida la técnica de SMOTE. Así mismo, se aplicó la técnica de One Hot Encoding para el tratamiento de variables categóricas. Los diferentes modelos de aprendizaje de maquina se aplicaron a un conjunto de datos proporcionado por una institución peruana líder en el sector de las microfinanzas, reportando los mejores resultados el modelo XGBoost, con una exactitud de 97.53% y un F1-Score de 0.1278.
The financial institutions dedicated to Microfinance offer their services to a target audience that, for the most part, has low economic resources and/or whose access to traditional banking systems is limited, these institutions to develop in an unfavorable context the risks of non-compliance in the payments are greater compared to traditional banking, therefore it is required to make a financial economic evaluation with a greater degree of detail, requiring for this purpose the participation of a business expert that based on information obtained and own expertise determine if the potential client will be a good payer, this way of evaluating a customer has evolved in the financial sector in recent years, this largely due to the application of technologies such as artificial intelligence and machine learning, offering a uniqueness that is the ability to learn from the data, demanding less effort and human participation mana, and yielding higher levels of accuracy. This article presents the results of the experimentation carried out with the following machine learning models: Logistic Regression, XGBoost, Random Forest, Gradient Boosting, Multilayer Perceptron (MLP) and deep learning algorithms for the prediction of non-payment, applying subsampling and oversampling balancing techniques, including the SMOTE technique, and the One Hot Encoding technique was applied for the treatment of categorical variables. The different models of machine learning were applied to a data set provided by a leading Peruvian institution in the microfinance sector, with the XGBoost model reporting the best results, with an accuracy of 97.53% and an F1-Score of 0.1278.

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Srour, Zainab. "Modeling and Analyzing Systemic Risk in European Banking Sector." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1G007.

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Cette thèse examine le sujet du risque systémique dans trois cadres empiriques différents. A part de citer la liste des travaux existants liés au risque systémique dans le premier chapitre, nous examinons l'impact de deux facteurs de prise de risque sur le niveau de risque systémique des banques européennes. Le deuxième chapitre étudie l'impact de la structure de propriété sur la contribution du risque systémique de 79 banques dans 16 pays Européens sur la période 2004-2016. Les résultats montrent qu’une concentration plus élevée de la propriété est associée à une plus hausse contribution du risque systémique des banques. De plus, nous avons constaté que la contribution des banques au risque systémique était encore plus forte pour les banques où les investisseurs institutionnels et les États étaient les principaux actionnaires majoritaires. Nous allons plus loin et étudions l’effet des variables réglementaires sur la relation entre le risque systémique et la structure de propriété. Nous constatons que la concentration de la propriété accroît la contribution du risque systémique des banques dans les pays où la garantie des dépôts est élevée, où les fonds propres sont moins exigeants et où la diversification des actifs est plus grande. Le troisième chapitre explore l’effet d’une autre incitation à la prise de risque, la création de liquidités, sur l’exposition et la contribution des banques au risque systémique. Nous utilisons le même échantillon composé de 79 banques européennes au cours de la période 2004-2016. Les conclusions soulignent que, en temps normal, l'exposition au risque systémique des banques est aggravée par une forte création de liquidités. De plus, nous montrons que, en période de crise, une forte création de liquidité affecte négativement non seulement l’exposition des banques au risque systémique, mais également leur contribution. Le chapitre quatre examine une autre facette du risque systémique. En utilisant un échantillon de 134 banques dans 16 pays européens pendant la période 2002-2016, nous avons construit trois méthodes de prévision pour prédire la contribution et l’exposition des banques au risque systémique. Nous utilisons un réseau neurone artificiel, support vecteur machine et la spécification generalized autoregressive conditional heteroskedasticity. Nos résultats montrent que les réseaux de neurones artificiels à deux couches cachées surpassent les autres modèles en ce qui concerne la prévision du risque systémique
This dissertation investigates the systemic risk subject in three different empirical frameworks. Besides listing the existing works related to the systemic risk in the first chapter, we examine the impact of two risk-taking factors in affecting the systemic risk level of European banks. The second chapter investigates the impact of the ownership structure on systemic risk contribution of 79 banks in 16 western European countries during the 2004-2016 period. The results show that higher ownership concentration is associated with greater banks’ systemic risk contribution. Moreover, we found that banks’ systemic risk contribution is even stronger for banks where institutional investors and States are the largest controlling owners. We go deeper and investigate the effect of regulatory variables on the relationship between systemic risk and ownership structure. We find that higher ownership concentration increased banks’ systemic risk contribution in countries with high deposit insurance, lower capital stringency and higher asset diversification. The third chapter explores the effect of another risk-taking incentive, the liquidity creation, on banks systemic risk contribution end exposure. We use the same sample consisting of 79 European banks during the 2004-2016 period. The findings emphasize that during normal time, systemic risk exposure of banks are exacerbated by high liquidity creation. Moreover we show that, during distress times, high liquidity creation affects negatively not only banks exposure to systemic risk but also their contribution. Chapter four investigates a different facet of the systemic risk. Using a sample of 134 banks in 16 European countries ranging from 2002 to 2016, we construct three forecasting methods to predict systemic risk contribution and exposure values. We use artificial neural network, support vector machine and generalised autoregressive conditional heteroskedasticity specification. Our results show that two hidden layers artificial neural networks outperform other models in effectively predicting systemic risk

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Abdel, Ahad George, and Abo Jack Dilli. "Digitalisering utifrån ekonomers perspektiv : En fallstudie vid två offentliga organisationer." Thesis, Högskolan Väst, Avd för företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-16627.

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Digitalisering är ett aktuellt ämne i dagsläget och teknologin har vuxit samt påverkat samhället. Det har påverkat ekonomer och deras arbetssätt. Det förekommer flertalet studier angående hur digitalisering påverkar ekonomrollen inom privat sektor, forskning kring ekonomernas egna erfarenheter och inom den offentliga sektorn är dock fåtalig. Offentlig sektor har kritiserats då den tekniska utvecklingen inte går framåt i den takt som övriga samhället. Detta då de har strukturer som försvårar införandet av moderniseringsarbete. Syftet med studien är att kartlägga och analysera erfarenheter med digitalisering samt möjligheter och utmaningar kring det utifrån ekonomers perspektiv. Studien har genomförts genom en kvalitativ metod där datainsamlingen gjordes på två offentliga organisationer genom sex semistrukturerade intervjuer. Digitalisering resulterar i att analog information skiftar till att bli digitaliserade. Den förbättrar den interna effektiviteten genom att effektivisera arbetsprocesser genom att eliminera manuella hanteringar och reducera de mänskliga felen. Ekonomistyrsystem handlar om att påverka beteendes hos medarbetarnas, men även chefernas beteende i organisationen. Studiens empiriska resultat visar att digitalisering har bidragit till en övergång från det analoga till det digitala. Det visar även att digitaliseringen har effektiviserat arbetsprocesser inom organisationerna. Vad gäller ekonomistyrningen i organisationerna har studien identifierat att det i arbetssättet främst råder en kombination av resultat- samt handlingsstyrning i organisationerna. Slutsatserna som studien presenterar är att fördelarna med digitalisering är att det har lett till effektivare arbetsprocesser och frigjort tid till mer kvalificerade arbetsuppgifter. Möjligheterna är att effektiviseringen leder till att mer fokus kan sättas på att hantera med kvalificerade arbetsuppgifter som faktiskt kräver det mänskliga ögat och minska de mänskliga felen. En nackdel är att ekonomerna inte besitter IT- kompetensen, och behöver ta hjälp av IT-avdelningen, vilket i sig är en utmaning då det uppstår utmaningar gällande kommunikationen. På grund utav detta upplever ekonomerna detta att systemen inte alltid är optimala att hantera utifrån deras arbetsuppgifter. Ytterligare en nackdel med digitaliseringen är att den påverkar den sociala kontakten och den kreativa förmågan negativt till följd av fler digitala möten istället för att träffas fysiskt.
Digitalization is a current topic at present and technology has grown and affected society. It has affected economists and their way of working. There are several studies regarding how digitalization affects the role of economists in the private sector, research on economists' own experiences and in the public sector is, however, few. The public sector has been criticized as technological development does not progress at the pace of the rest of society. This is because they have structures that make it difficult to introduce modernization work. The purpose of the study is to map and analyze experiences with digitization as well as opportunities and challenges around it from the perspective of economists. The study was conducted through a qualitative method where data collection was done on two public organizations through six semi-structured interviews. Digitization results in analog information shifting to being digitized. It improves internal efficiency by streamlining work processes by eliminating manual handling and reducing human error. Management control systems are about influencing the behavior of employees, but also managers' behavior in the organization. The empirical results of the study show that digitization has contributed to a transition from the analog to the digital. It also shows that digitalization has streamlined work processes within organizations. With regard to management control in the organizations, the study has identified that there is both results control and action control in the organizations. The conclusions that the study presents are that the advantages of digitization are that it has led to more efficient workflow processes and freed up time for more qualified tasks. The possibilities are that the streamlining leads to more focus being placed on dealing with qualified tasks that require the human eye and reduce human errors. A disadvantage is that economists do not possess IT skills, and need the help of the IT department, which is a challenge as challenges arise regarding communication. Due to this, economists experience that the systems are not always optimal to handle based on their tasks. Another disadvantage of digitalization is that it negatively affects social contact and creative ability as a result of more digital encounters instead of meeting physically.

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Bladh, Oskar, Hedvig Henrekson, and Ida Modée. "The Impact of Virtual Agents on Customer Loyalty in Major Swedish Banks." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39856.

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Abstract Background Since the emergence of digital banking, the financial sector has experienced a significant transformation in both how business is conducted and how services are provided to customers. Previous literature has examined how new technologies and the digitalization of banks' customer service affect customer loyalty. Although, since virtual agents acting as service providers in the banking sector is a relatively new phenomenon, there is limited research concerning the implications it will have on the bank-customer relationship. Hence, the novelty and relevance of the topic makes it interesting for further research. Purpose Through the identified underlying factors affecting customer loyalty, the purpose of this study is to examine how customer loyalty will be affected by the implementation of virtual agents as service providers in major Swedish banks. Method This is a qualitative study, and the empirical data were collected from semi-structured in-depth interviews with bankers at four major Swedish banks, as well as with ten highly-educated customers who are frequent users of bank services. Findings The findings showed that virtual agents must affect customer service to a large extent to have a profound impact on customer loyalty. Virtual agents will be able to replace human bankers regarding simpler inquiries satisfyingly. On the other hand, the demand for personal interactions regarding more complex matters is found to be important.

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Valentin, Luangraj Sontsada. "Vers une approche non-linéaire de la commande d'attitude de satellites par jets de gaz." Toulouse, ENSAE, 2004. http://www.theses.fr/2004ESAE0019.

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Dans cette thèse, on s'intéresse aux techniques de modulation d'impulsions dans le cadre du contrôle d'attitude de satellites. On se place dans un contexte particulier où le modulateur non-linéaire est volontairement réglé de manière à générer un cycle limite stable que l'on cherche à atteindre. Dans un premier volet du mémoire, on propose donc une méthode de synthèse permettant de modifier les caractéristiques du cycle limite aﬁn de maîtriser la précision de pointage d'une part et la consommation d'ergols d'autre part. Cette méthode repose sur une formulation nouvelle de la méthode de Tsypkin et une extension originale d'outils habituellement utilisés en analyse de la robustesse. Dans un deuxième volet, on cherche à qualiﬁer la robustesse du réglage en évaluant le domaine d'attraction du cycle limite obtenu. On met en œuvre une approche temporelle fondée sur la recherche de fonctions de Lyapunov déﬁnies sur des surfaces de commutation et dépendantes du temps de commutation.

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Hultman, Anna, and Mikaela Zarki. "Do you mind talking to a chatbot? : A quantitative study about how chatbots affect the digital customer experience within Swedish banks." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104863.

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This bachelor's degree thesis aims to increase the understanding of how chatbots affect the digital customer experience within Swedish banks. Furthermore, this study examines how bank chatbot's technical quality affects the digital customer experience. In this thesis, the authors have chosen to use a deductive approach and a quantitative research strategy. Moreover, the authors used the Statistical Package for Social Sciences (SPSS) program to process the collected quantitative data from the questionnaires. The thesis empirical findings were analyzed and discussed in correlation to previous research to strengthen the research results. The thesis empirical findings demonstrate that 42.9% of the respondents agreed with the statement; My bank's chatbot technology quality improved my customer satisfaction. Moreover, the correlation analysis showed that customer satisfaction and customer satisfaction linked to technical quality had a strong positive correlation between the concepts. Swedish banks could use the information to develop further their chatbots' technical quality, which would reduce customer service costs and influence how customers visit the bank. The thesis research results can also be applied and used by other industries that want to improve or implement chatbots in their digital business.

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Mena, O'Meara Nicolay Antonio. "PLANIFICACIÓN MAESTRA DE OPERACIONES EN LA GESTIÓN DE LA CADENA DE SUMINISTRO EN CONTEXTO DE INCERTIDUMBRE EN EL SECTOR CERÁMICO. PROPUESTA DE MODELADO Y RESOLUCIÓN BASADA EN REDES NEURONALES ARTIFICIALES (ANN)." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/9088.

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La Planificación Colaborativa en la Cadena/Red de Suministro (C/RS) en un Contexto de Incertidumbre necesita de nuevos sistemas que minimicen la aleatoriedad a lo largo de ésta. La incertidumbre se puede tratar a partir de algoritmos heurísticos que mejoran las actividades logísticas que comprenden la Planificación Maestra de la Cadena, obteniendo así mejores resultados en cuanto a margen de beneficios, minimización de costes y otros objetivos que se persiguen en la Cadena. Todo esto para obtener la colaboración entre las diferentes etapas (Proveedor, Fabricación, Distribución y Detallista) que comprende la Cadena de Suministro. En este enfoque, de Tesis presenta una Propuesta Metodológica que se compone de una Propuesta de Modelado, la Descripción del Problema, dos modelos matemáticos (Determinista y de Incertidumbre), la Implantación del Modelado, la Arquitectura y la Plataforma Tecnológica SCANN (Supply Chain Artificial Neuronal Networks), y por último, la Aplicación del Modelo y la Herramienta de Resolución a una Empresa. En lo que se refiere a los dos modelos matemáticos de optimización (Modelo Matemático Determinista "MMD" y Modelo Matemático con Incertidumbre "MMI"), estos consideran simultáneamente la maximización del margen de beneficios para compararlos entre sí. Un modelo está construido en el contexto determinista y el otro utiliza el mismo modelo determinista pero aplicándole incertidumbre, la cual se prevé con Redes Neuronales (las Redes Neuronales prevén un mejor resultado a partir de su proceso interno y entrenamiento de datos). Los modelos MMD, MMI, y las Redes Neuronales están implantados en una Plataforma Tecnológica SCANN (desarrollada por el doctorando), la cual está aplicada al sector cerámico con la ventaja de poder ser utilizada para diferentes modelos de Cadena de Suministro. La Plataforma Tecnológica SCANN ayuda a la Toma de Decisiones en una C/RS centralizada a un nivel Táctico-Operativo.
Mena O'meara, NA. (2010). PLANIFICACIÓN MAESTRA DE OPERACIONES EN LA GESTIÓN DE LA CADENA DE SUMINISTRO EN CONTEXTO DE INCERTIDUMBRE EN EL SECTOR CERÁMICO. PROPUESTA DE MODELADO Y RESOLUCIÓN BASADA EN REDES NEURONALES ARTIFICIALES (ANN) [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/9088
Palancia

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Makasi, Tendai. "Cognitive computing systems and public value: The case of chatbots and public service delivery." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230002/1/Tendai_Makasi_Thesis.pdf.

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This thesis is an investigation of how cognitive computing system initiatives in the public sector can contribute towards creating public value. It focuses specifically on public service delivery through service channels that are supported by chatbots and proposes recommendations to ensure that the important public service value dimensions are supported. The thesis builds upon the discussions around public value creation and draws upon the interpretation of how chatbots can facilitate public value creation during chatbot-mediated service interactions from both the users of the chatbots and designers of the chatbots.

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Srinivasan, Sujatha. "Low-dimensional modeling and analysis of human gait with application to the gait of transtibial prosthesis users." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179865923.

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Anantharajah, Anusanth. "Spectroscopie infrarouge lointain et moyen à haute résolution par transformée de Fourier de molécules complexes d’intérêt atmosphérique : ClNO₂, Cl₂CO et ClONO₂." Electronic Thesis or Diss., Université Paris Cité, 2020. https://theses.md.univ-paris-diderot.fr/ANANTHARAJAH_Anusanth_va2.pdf.

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La mesure des concentrations d’espèces à l’état de trace, susceptibles d’avoir un impact notable sur la santé, le climat ou la stabilité de la couche d’ozone constitue un véritable défi. Les prochaines missions spatiales, prévues à haute sensibilité, apporteront un progrès si et seulement si les paramètres spectraux nécessaires sont disponibles. Pour certaines espèces d’intérêt atmosphérique telles que le chlorure de nitryle (ClNO₂), le phosgène (Cl₂CO) et le nitrate de chlore (ClONO₂), les données spectroscopiques sont incomplètes ou quasiment inexistantes. Le défi dans cette thèse consiste à obtenir des paramètres spectroscopiques (positions et intensités de raies ou sections efficaces d’absorption) pour ces espèces, en vue des applications atmosphériques. Cependant, hormis Cl₂CO, la spectroscopie de ClNO₂₂ et ClONO₂ est rendue difficile par leur synthèse chimique très complexe, leur réactivité avec les métaux et les matériaux organiques et leur instabilité en présence de lumière et chaleur. De plus, ces molécules sont assez lourdes (présence du chlore avec ses deux isotopomères) et présentent des spectres denses et assez compliqués par de nombreuses perturbations qui affectent les niveaux de vibration-rotation.Dans le cas de ClNO₂, des spectres ont été enregistrés dans la gamme 300 – 900 cm-1 avec de meilleures conditions expérimentales (haute résolution, basse température, long parcours, faible pression) en utilisant le rayonnement synchrotron de la ligne AILES à SOLEIL. Des modélisations précises des régions à 370 et 790 cm-1 ont été effectuées. Ces régions pourront être exploitées pour une future télédétection atmosphérique par spectroscopie IRTF respectivement par les instruments FORUM et IASI-NG. Les vibrations de basse énergie de ClONO₂ jamais observées à haute résolution avant ce travail ont également été mesurées. Une première modélisation de la région de la torsion vers 120 cm-1 est présentée dans cette thèse. L’analyse de ces vibrations sera utile pour modéliser les bandes chaudes dans les fenêtres atmosphériques où ClONO₂ est actuellement détecté, et in fine permettra d’aboutir à une restitution bien plus précise du profil de concentration de ClONO₂. Concernant Cl₂CO, des sections efficaces ont été mesurées au LISA, d’une part, à température ambiante pour clarifier les données des travaux antérieurs et, d’autre part, dans les conditions stratosphériques en soutien à la télédétection satellitaire
Measuring concentrations of trace species that may have a significant impact on health, climate or the stability of the ozone layer, is a serious challenge. Future space missions, planned at high sensitivity, will bring progress if and only if the necessary spectral parameters are available. For some species of atmospheric interest such as nitryl chloride (ClNO₂), phosgene (Cl₂CO) and chlorine nitrate (ClONO₂), spectroscopic data are incomplete or almost non-existent. The challenge in this thesis is to get spectroscopic parameters (line positions and intensities or absorption cross sections) for these species in support of atmospheric applications. However, apart from Cl₂CO, spectroscopy of ClNO₂ and ClONO₂ is made difficult by their very complicated chemical synthesis, their reactivity with metals and organic materials, and their instability in the presence of light and heat. Moreover, these molecules are quite heavy (presence of chlorine with its two isotopomers) and exhibit dense spectra that are quite complicated by numerous perturbations affecting vibration-rotation levels.In the case of ClNO₂, spectra were recorded in the range 300 – 900 cm-1 with much improved experimental conditions (high resolution, low temperature, long path, low pressure) using the synchrotron radiation of the AILES beamline at SOLEIL. Precise modelling of the 370 and 790 cm-1 regions has been performed. These regions could be used for a future atmospheric remote sensing by FTIR spectroscopy respectively by FORUM and IASI-NG instruments. The low energy vibrations of ClONO₂ that have been never observed at high resolution before this work were also measured. A first modelling of the torsional region around 120 cm-1 is presented in this thesis. The analysis of these vibrations will be useful for the modelling of hot bands in the atmospheric windows where ClONO₂ is currently detected, and in fine will lead to a much more precise retrieval of the ClONO₂ concentration profile. Regarding Cl₂CO, cross sections have been measured at LISA, on one hand, at room temperature to compare data with previous works and, on the other, in stratospheric conditions to support satellite remote sensing applications

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Júnior, Roberto Marcio de Oliveira. "Avaliação da estimulação ventricular direita crônica em crianças e adultos jovens com bloqueio atrioventricular congênito isolado." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/5/5156/tde-14082014-114613/.

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Introdução: O bloqueio atrioventricular congênito isolado (BAVCi) é raro e tem múltiplas apresentações clínicas. O implante de marca-passo cardíaco permanente (MP) é o tratamento de escolha, resultando em evolução clínica satisfatória para a maioria dos casos, porém, aproximadamente 10% deles apresentam remodelamento ventricular e insuficiência cardíaca grave. Objetivos: Estudar a evolução tardia de crianças e adultos jovens com BAVCi e estimulação crônica do ventrículo direito (VD), visando determinar: a prevalência de sinais clínicos e laboratoriais de insuficiência cardíaca e de remodelamento ventricular; a capacidade funcional; a qualidade de vida e fatores preditores de alterações clínicas, funcionais ou ecocardiográficas. Métodos: Estudo transversal realizado em coorte de portadores de BAVCi e MP implantado antes de 21 anos de idade com estimulação no VD há mais de um ano. Todos os indivíduos foram submetidos a avaliação clínica e laboratorial, da capacidade funcional, da qualidade de vida e a ecocardiograma. Mães e sujeitos da pesquisa foram investigados para doenças reumatológicas. Os dados foram armazenados no sistema REDCap (Research Electronic Data Capture) e analisados pelos programas SAS (Statistical Analysis System), SPSS (Statistical Package for the Social Sciences) e R Studio. A análise dos dados incluiu: análise univariada para pesquisa de associações entre variáveis preditoras e desfechos, coeficiente de correlação de Pearson e modelo de regressão linear multivariado. Resultados: De março/2010 a dezembro/2013, foram avaliados 63 indivíduos, 68% do sexo feminino, com idade de 1 a 40 anos, com MP por 13,4 ± 6,5 anos e estimulação do VD por 10,0 ± 5,4 anos. O modo de estimulação era atrioventricular em 55,6%, o percentual de estimulação de VD de 97,9 ± 4,2% e a duração do complexo QRS estimulado de 152,4 ± 20,1 ms. A maioria (88,9%) era assintomática e não utilizava medicamentos de ação cardiovascular. Maior tempo de MP (P= 0,013), maior tempo de estimulação do VD (P= 0,005), maior idade na inclusão no estudo (P= 0,032) ou menor fração de ejeção do ventrículo (FEVE) (P= 0,013) associaram-se com a presença de classe funcional II (NYHA) e/ou uso medicamentos. Os valores do peptídeo natriurético tipo B foram normais em todos os exames laboratoriais, mas houve alteração da proteína C reativa ultrassensível, fator de necrose tumoral alfa e interleucina-6 em 66%, 34% e 13% exames, respectivamente. A distância média percorrida no teste de caminha de seis minutos foi de 546,9 ± 76,2 metros (91,0 ± 12,5% do valor predito). Os escores médios da qualidade de vida foram 78,1 ± 17,7 para o \"Sumário Físico\" e 76,6 ± 17,1 para o \"Sumário Mental\" do questionário Short Form 36 (SF-36) e de 77,4 ± 18,5, para o \"Sumário Físico\" e de 77,7 ± 21,6 para o \"Sumário Psicossocial\", do Child Health Questionnaire - Parent Form 50 (CHQ-PF50). Diminuição da FEVE foi detectada em 39,7% e aumento do diâmetro diastólico do ventrículo esquerdo (DDVE) em 22,2% dos indivíduos. A idade mais avançada no primeiro implante de MP se correlacionou negativamente com menor FEVE (r= -0,302; P= 0,016); a duração do complexo QRS estimulado (r= 0,447; P= 0,002) e maior tempo sob estimulação do VD (r= 0,416; P= 0,007) se correlacionaram positivamente ao aumento do DDVE. Foi detectada dissincronia ventricular em 60,3% dos indivíduos. O retardo da ativação eletromecânica intraventricular esquerda foi de 86,5 ± 56,9 ms e interventricular, de 141,9 ± 88 ms. Contudo, não houve correlação com os fatores estudados. Autoanticorpos anti-Ro/SSA foram detectados em 18 (32,1%) mães, com associação entre idade no momento do implante do MP (P= 0,032) e uso de MP ventricular no momento do estudo (P= 0,022). A regressão linear multivariada confirmou a correlação entre a idade no momento do implante do MP com a FEVE (P= 0,016), da duração do complexo QRS estimulado (P= 0,004) e do tempo sob estimulação do VD (P= 0,014) com o DDVE. Conclusões: A prevalência de manifestações clínicas e laboratoriais de insuficiência cardíaca foi baixa; por outro lado, a de remodelamento ventricular esquerdo foi elevada. A capacidade funcional foi satisfatória, assim como a qualidade de vida, nos aspectos físicos e emocionais. Idade mais avançada no primeiro implante de MP, maior tempo sob estimulação cardíaca e complexo QRS estimulado mais alargado foram fatores independentes de remodelamento ventricular e/ou de manifestação de insuficiência cardíaca
Introduction: Isolated congenital atrioventricular block (iCAVB) is a rare condition with multiple clinical presentations. Permanent cardiac pacing is the most effective therapy for this population resulting in satisfactory long-term outcomes. However, approximately 10% of patients may have ventricular remodeling and severe heart failure. Objectives: To study the long-term effects of chronic right ventricular (RV) pacing in children and young adults with iCAVB in order to determine: prevalence of clinical and laboratory signs of heart failure and ventricular remodeling, functional capacity, quality of life and predictors of clinical, functional or echocardiographic abnormalities. Methods: Cross-sectional study of a cohort of iCAVB patients with <= 21 years old at initial pacemaker (PM) implantation and single or dual-chamber pacing in a unique RV site for a minimum of one year. All subjects underwent clinical and laboratory assessment, functional capacity, quality of life and echocardiogram. Mothers and research subjects were investigated for rheumatic diseases. Data were stored in REDCap (Research Electronic Data Capture) system and analyzed by SAS (Statistical Analysis System), SPSS (Statistical Package for the Social Sciences) and R Studio programs. Data analysis included: univariate analysis for associations between predictor variables and outcomes, Pearson correlation coefficient and linear regression multivariate model. Results: Between March/2010 and December/2013, we evaluated 63 subjects aged 1-40 years old, 68% female, under PM for 13.4 ± 6.5 years and under RV pacing for 10.0 ± 5.4 years. Pacing mode was atrioventricular in 55.6%, percentage of RV pacing was 97.9 ± 4.2% and paced QRS duration was 152.4 ± 20.1 ms. Overall, the majority (88.9%) were asymptomatic and did not use cardiovascular drugs. Longer time under PM (P= 0.013), or even under RV pacing (P= 0.005), higher age at study inclusion (P= 0.032) and lower left ventricular ejection fraction (LVEF) (P= 0.013) were associated with functional class II (NYHA) and / or drug use. B-natriuretic peptide values were normal in all tests. C reactive protein ultrasensitive, tumor necrosis factor alfa and interleukin-6 were increased in 66%, 34% and 13% tests, respectively. The mean walked distance in the sex minute walk test was 546.9 ± 76.2 meters (91.0 ± 12.5% of the predicted value). Mean scores of quality of life were 78.1 ± 17.7 for \"Physical Summary\" and 76.6 ± 17.1 for \"Mental Summary\" in the Short Form 36 (SF-36) and 77.4 ± 18.5 for \"Physical Summary\" and 77.7 ± 21.6 for \"Psychosocial Summary\", of Child Health Questionnaire - Parent Form 50 (CHQ-PF50). Decreased LVEF was detected in 39.7% and increased left ventricular end-diastolic diameter (LVDD) in 22.2% of subjects. Higher age at the first PM implant was negatively correlated with lower LVEF (r= -0.302; P= 0.016); paced QRS duration (r= 0.447; P= 0.002) and time under RV pacing (r= 0.416; P= 0.007) were positively correlated with LVDD. Ventricular dyssynchrony was detected in 60.3 % of individuals. Intra-left ventricular electromechanical delay was 86.5 ± 56.9 ms and interventricular was 141.9 ± 88 ms. However, ventricular dyssynchrony was not correlated with the studied variables. Autoantibodies anti-SSA/Ro were detected in 18 (32.1%) mothers. There was association between age at PM implant (P= 0.032) and use of ventricular PM at the time of the study (P= 0.022) and presence of anti-SSA/Ro. Multivariate linear regression showed significant correlation between age at PM implant with LVEF (P= 0.016); and paced QRS duration (P= 0.005) and time under RV pacing (P= 0.014) with LVDD. Conclusions: Clinical and laboratorial manifestations of heart failure presented low prevalence in this population. On the other hand, the prevalence of left ventricular remodeling was high. Functional capacity was adequate, as well as quality of life, in both physical and emotional aspects. Higher age at first PM implant, longer time under pacing and wider paced QRS duration were independent factors of ventricular remodeling and/or manifestation of heart failure

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Scarfe, Bradley Edward. "Oceanographic Considerations for the Management and Protection of Surfing Breaks." The University of Waikato, 2008. http://hdl.handle.net/10289/2668.

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Although the physical characteristics of surfing breaks are well described in the literature, there is little specific research on surfing and coastal management. Such research is required because coastal engineering has had significant impacts to surfing breaks, both positive and negative. Strategic planning and environmental impact assessment methods, a central tenet of integrated coastal zone management (ICZM), are recommended by this thesis to maximise surfing amenities. The research reported here identifies key oceanographic considerations required for ICZM around surfing breaks including: surfing wave parameters; surfing break components; relationship between surfer skill, surfing manoeuvre type and wave parameters; wind effects on waves; currents; geomorphic surfing break categorisation; beach-state and morphology; and offshore wave transformations. Key coastal activities that can have impacts to surfing breaks are identified. Environmental data types to consider during coastal studies around surfing breaks are presented and geographic information systems (GIS) are used to manage and interpret such information. To monitor surfing breaks, a shallow water multibeam echo sounding system was utilised and a RTK GPS water level correction and hydrographic GIS methodology developed. Including surfing in coastal management requires coastal engineering solutions that incorporate surfing. As an example, the efficacy of the artificial surfing reef (ASR) at Mount Maunganui, New Zealand, was evaluated. GIS, multibeam echo soundings, oceanographic measurements, photography, and wave modelling were all applied to monitor sea floor morphology around the reef. Results showed that the beach-state has more cellular circulation since the reef was installed, and a groin effect on the offshore bar was caused by the structure within the monitoring period, trapping sediment updrift and eroding sediment downdrift. No identifiable shoreline salient was observed. Landward of the reef, a scour hole ~3 times the surface area of the reef has formed. The current literature on ASRs has primarily focused on reef shape and its role in creating surfing waves. However, this study suggests that impacts to the offshore bar, beach-state, scour hole and surf zone hydrodynamics should all be included in future surfing reef designs. More real world reef studies, including ongoing monitoring of existing surfing reefs are required to validate theoretical concepts in the published literature.

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Lin, Chun-Wei, and 林軍威. "Prediction of Wind Spectrum using Artificial Neural Networks for Rectangular Cross-section High-rise Buildings." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/78226913136300796977.

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碩士
淡江大學
土木工程學系碩士班
97
With the progress of science and technology, people can use computers to deal with and solve a lot of engineering problems for the purposes of raising efficiency, lowering costs, etc. Still there are a lot of problems in many fields that require to carry out experiments and to use approximate solutions. Wind engineering belongs to the latter. Wind tunnel tests usually provide the most reliable design wind loads in current wind engineering practice. Nevertheless, wind tunnel tests are expensive and time consuming. It is very desirable to save resources and to obtain relatively accurate design wind loads at preliminary design stage. It can save a lot of time for engineers. The reported research employed artificial neural networks to predict wind spectra and calculate wind loadings for rectangular cross-section buildings. Similar buildings can be used to anticipate the relevant information of the target building, and proceed to complete the preliminary design. In this thesis, MATLAB was used to implement the Radial Basis Function Neural Networks (RBFNN) constructed. The training and validation of the RBFNN cover alongwind, acrosswind and torsional wind force spectra in all three exposure conditions. For all three kinds of exposures, the spectrum errors under the most frequently used frequencies (0.15 ~ 0.4) are less than 3.96% for the training set and less than 4.07% for the validation set. As for the dynamic responses, the errors are less than 11.62% for the training set and less than 13.60% for the validation set. These results show that using aerodynamic database constructed from wind-tunnel test data to train RBFNN is a prospective approach to predict wind spectra.

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35

"Metasurface-Based Techniques for Broadband Radar Cross-Section Reduction of Complex Structures." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62941.

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abstract: Within the past two decades, metasurfaces, with their unique ability to tailor the wavefront, have attracted scientific attention. Along with many other research areas, RADAR cross-section (RCS)-reduction techniques have also benefited from metasurface technology. In this dissertation, a novel technique to synthesize the RCS-reduction metasurfaces is presented. This technique unifies the two most widely studied and two well-established modern RCS-reduction methods: checkerboard RCS-reduction andgradient-index RCS-reduction. It also overcomes the limitations associated with these RCS-reduction methods. It synthesizes the RCS-reduction metasurfaces, which can be juxtaposed with almost any existing metasurface, to reduce its RCS. The proposed technique is fundamentally based on scattering cancellation. Finally, an example of the RCS-reduction metasurface has been synthesized and introduced to reduce the RCS of an existing high-gain metasurface ground plane. After that, various ways of obtaining ultrabroadband RCS-reduction using the same technique are proposed, which overcome the fundamental limitation of the conventional checkerboard metasurfaces, where the reflection phase difference of (180+-37) degrees is required to achieve 10-dB RCS reduction. First, the guideline on how to select Artificial Magnetic Conductors (AMCs) is explained with an example of a blended checkerboard architecture where a 10-dB RCS reduction is observed over 83% of the bandwidth. Further, by modifying the architecture of the blended checkerboard metasurface, the 10-dB RCS reduction bandwidth increased to 91% fractional bandwidth. All the proposed architectures are validated using measured data for fabricated prototypes. Critical steps for designing the ultrabroadband RCS reduction checkerboard surface are summarized. Finally, a broadband technique to reduce the RCS of complex targets is presented. By using the proposed technique, the problem of reducing the RCS contribution from such multiple-bounces simplifies to identifying and implementing a set of orthogonal functions. Robust guidelines for avoiding grating lobes are provided using array theory. The 90 degree dihedral corner is used to verify the proposed technique. Measurements are reported for a fabricated prototype, where a 70% RCS-reduction bandwidth is observed. To generalize the method, a 45 degree dihedral corner, with a quadruple-bounce mechanism, is considered. Generalized guidelines are summarized and applied to reduce the RCS of complex targets using the proposed method.
Dissertation/Thesis
Doctoral Dissertation Electrical Engineering 2020

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Liao, Hsiang-Yu, and 廖祥宇. "A study of Artificial Neural Network to forecast the Productivity of Shield-Tunneling Method-A Case Study on Kaohsiung Mass Rapid Transport section CO4." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/62254613232253881185.

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碩士
國立高雄第一科技大學
營建工程所
97
The most construction of KMRT have been achieved and operated fully in September, 2008. It’s the beginning of the construction by learning and self-criticism, but the whole construction of the momentous traffic construction was influenced by STM. the cost of the tunnel account for the total cost of the construction is the very large of the ratio. How to promote the rate of excavation to expedite the impetus of the public construction has become the important study in the project. STM was introduced into Taiwan in 1976. In the future, there are more about the construction of the SMT will be develop in Taiwan. This study that Productivity of STM was collected 788 data, making the data of excavation, Carry Principal Component Analysis and Artificial Neural Network out. Construction productivity of STM is affected by several factors. According to the literature that few studies were explored the productivity data of STM. due to The STM plays an important role in the KMRT, in this paper establish a great deal of database and strengthen the method of analysis in order to find out and discuss what different they are. Finally, this paper studied that predict the modeling productivity of the STM effective. On the normal excavation stage, it can manage STM by predicting the productivity of the excavation correctly and have the important factors in hand.

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Chen, Chi-Wei, and 陳啟偉. "Applying Artificial Neural Networks to the Characteristics of Slope Failures along the Road—A Case Study on Hualian Section of the 11th Provincial Highway." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/45357236071001507771.

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碩士
國立東華大學
自然資源管理研究所
94
The topic of this study is to discuss the factors of slope failures along Hualian section of 11th provincial highway. Firstly, this study is to compare the difference of slope failures between single factor and inter-relative of other factors. Secondly, the relative importance of these factors are analyzed and stressed. Finally, this article points out the possibility and potential analysis ability of applying Artificial Neural Networks (ANN). Principally, this article describes the analysis methods used in factors of data and historical records of land units, and applying ANN. Some factors should be considered, such as stratum (7 items), slop (3 items), engineering types of the slope (12 items), height of slope toe cutting (1 item), distance between geologic structure and land units (7 items) and aspect (1 item), total 6 types, 31 factors and analyzed 573 cases (have 218 landslide and 355 stable cases). Moreover, three sections, namely training data (60 % of all), validation data (20 % of all), and testing data (20 % of all) are developed via employing normalize and randomize of those data. In order to meet the aim of this study, therefore, three distributions should be compared such as the minimum error number of validation data (named MV), the error number of testing data correspond to MV (named TMV) and the minimum error number of testing data (named MT). To conclude it, according to research result, the use of ANN (error percentage is 1.22 %) is more applicable than use of discriminate analysis (error percentage is 18 %). As refer to the result of these data, it is not recommend considering the only answer as the final result. Meanwhile, for the result of extent of relationship of every functions and slope failures, the sequence is slope (1.390), stratum (0.608), engineering types of the slope (0.591) and distance between ecologic structure and land units (0.562), height of slope toe cutting (0.550)and aspect (0.546); only the first two factors and sequence is same as the results of Chung-Hua Chen’s (2004). Considering the ability of ANN, the range of MV is less than TMV, and the range of TMV is more than MT; which means the result of this simulation is fluctuant. Otherwise, the average of error percentage of MT is less than TMV; which means ANN has potential simulant ability, but it is difficult to display on the data.

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Simão, Carolina Gonçalves Silva. "Artificial intelligence for fraud detection in motor insurance sector." Master's thesis, 2022. http://hdl.handle.net/10362/133845.

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Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
One of the major problems in the insurance sector is related to fraud, aside from tax fraud, insurance fraud is the most practiced fraud in the world since insurance, by its nature is very susceptible to it. Fraud could be minimized by investigating each claim that occurs but that also means an increase of the costs for the insurance companies. The fraudulent clients or agents that will be caught with the investigation and the amount of money spent by looking into every new claim is not worth it. Insurance fraud is usually caught only when the fraudsters get greedy and it becomes obvious that they are involved in a scheme. To minimize the investigation costs by only looking at suspicious claims, this project tries to identify the ones that are worth to scrutinize, through machine learning techniques. Five different predictive models will be used: Logistic Regression, Decision Tree, Random Forest, Neural Network and Gradient Boosting. The goal is to build an optimal model that will determine which automobile claims have higher probability of being fraudulent. An efficient fraud management can reduce costs, minimize claims and increase profits. This goal was accomplished with a Gradient Boosting classifier with 400 estimators, that is able to predict correctly 49% of the fraudulent claims, with 75% less investigated claims. There is still room for improvement by introducing the expected claim and investigation costs in the model. Since only the ones with significant costs would be worth to open an investigation, an even greater decrease in the number of investigated claims would be possible and, consequently, a decrease in the company’s costs with claims. Also, it would be expected that the claims with higher costs are more likely fraudulent than the ones with small indemnities; hence, this variable could lead to a higher precision of the model. These two features will be available in the future.

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Oliveira, Joana Teixeira De. "State-of-art of artificial intelligence in the portuguese food retail sector." Master's thesis, 2020. http://hdl.handle.net/10362/104026.

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This study aims to explore the actual state of the art of the use of Artificial Intelligence (AI) in the food retail industry in Portugal. Literature review is conducted to propose industry definitions and to provide insights regarding the competitive landscape and AI adoption in industries. Three research questions are answered regarding technology and AI in food retailing.Qualitative research concluded that retailers consider technology an enabler for the future of their businesses and physical stores. Although knowing what AI is, they still consider to be beginners and mainly find it useful for the optimization of their operations.

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Van, Wyk Carel Johannes. "Assessment of synchronization in the SDH satellite sector." Thesis, 2012. http://hdl.handle.net/10210/6053.

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M.Ing.
The increase of multimedia and broadband communications in recent years has brought about the creation and implementation of synchronousdigital hierarchy (SDH) in the terrestrial network. The implementation of SDH in the satellite sector is a natural extension to improve the current available networks. It will drastically increase the flexibility and usability of the current under-utilized satellite sector. Unfortunately, SDH has still not been implemented in the satellite sector due to certain inherent synchronization problems of SDH and satellites. This thesis investigates some of these synchronization problems. A simulation tool was created that makes an accurate assessment of SDH synchronization in the satellite sector. The tool was used to study SDH links over goestationary (GEO), medium earth orbiting (MEO) and low earth orbiting (LEO) satellites. Various changeable SDH parameters were investigated to determine their influences. Parameters like the bit rate and elastic store length or hysteresis lengths were considered.

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Rodrigues, Ana Rita Dias. "Inteligência artificial, transformação digital e cibersegurança no sector bancário: uma estrutura multi-stakeholder." Master's thesis, 2021. http://hdl.handle.net/10071/22884.

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O mundo encontra-se em constante evolução e todos os dias surgem novas descobertas. O Ser Humano é mote desta constante evolução, sendo as novas tecnologias as grandes aliadas do Homem nesta busca por novas conquistas. O sector bancário, nomeadamente as instituições bancárias tradicionais, sofrem crescente pressão por parte dos seus "stakeholders" para se adaptarem às novas tecnologias. Contudo, e tendo em conta a natureza do setor em análise, a segurança dos dados dos seus utilizadores jamais poderá ser colocada em causa. A elevada confiança que os utilizadores depositam nas suas agências bancárias caracteriza, em muito, o tipo de relação mantida entre as instituições bancárias e os respetivos clientes. Para além disso, a reputação dos bancos afeta diretamente o seu sucesso e a sua capacidade em atrair novos clientes, bem como a manutenção dos clientes já existentes. Todas estas questões tornam a tomada de decisão no âmbito da problemática de incorporação da Inteligência Artificial (IA), da transformação digital e da cibersegurança na banca num problema de decisão complexo. A presente dissertação visa a conceção de um modelo representativo desta realidade. Com efeito, será utilizada uma combinação de técnicas de mapeamento cognitivo com o método "DEcision MAking Trial and Evaluation Laboratory" (DEMATEL). A participação de profissionais experientes da banca no processo de construção do modelo trará realismo aos resultados finais. Partindo do pressuposto de que não existem estudos perfeitos, serão também debatidas, nesta dissertação, as vantagens e as limitações da adoção destas abordagens no contexto em análise.
he world is in constant evolution, with new discoveries emerging every day. The human being is the motto for this evolution, and new technologies are a great ally in this quest for new conquests. The banking sector, namely traditional banking institutions, are currently under great pressure from their stakeholders to adapt to new technologies. However, considering the nature of this sector, the security of its users’ data cannot be put into question. The high level of trust that users place in their bank branches greatly characterizes the type of relationship kept between banking institutions and their clients. In addition, banks’ reputation directly affects their success, their capacity to attract new customers, as well as to retain existing ones. All these issues make decision making within the problematics of incorporating artificial intelligence (AI), digital transformation, and cybersecurity into the banking sector a complex decision problem. This study sought to develop a realistic model based on the combination of cognitive mapping and the "DEcision MAking Trial and Evaluation Laboratory" (DEMATEL) method to address this topic. Group sessions with an expert panel were carried out for application of the methodological procedures, allowing realism to be incorporated into the final results. Advantages and limitations of our framework are also discussed.

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SUN, HSIN-YI, and 孫欣怡. "Applications of Artificial Intelligence in Financial Service Sector and Its Challenges to Legal System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/f8q3jv.

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碩士
東吳大學
法律學系
107
Development and promotion of Information and Communication Technology (ICT) has promoted the usage of Artificial Intelligence (AI) in various industries around the world. Even if the introduction of new technology can improve industrial transformation and create new added value; however if its industrial development is related to human life and property, such as the usage of artificial intelligence in the development of financial service, then special attention to related issues in development is needed, such as ethics, ideology, social perception, interactive behavior and bias, economic benefit, legal rights and obligations, etc. This thesis will investigate the challenges faced by our financial legal system when it comes to our financial services using the artificial intelligence and is going to explain the significance of artificial intelligence, and the current situation of the world's financial services with its related issues and controversies. In today's business model of artificial intelligence used in the financial services, common financial services are customer service, investment consulting, investment product analysis and recommendation, claims process guidance, smart contract drafting, investment product design, and marketing advertising. Since the financial services use artificial intelligence technology, it also has a relative impact and effect; hence, the WEF propose the impact and effect at nine major aspects, such as customer loyalty, self-motivated financial behavior, integrated solutions for shared issues, and differences in market structure, new ethical dilemmas, and more. Therefore, this thesis is going to give ‘Ethical Issues’, ‘Privacy Issues’, ‘Related Legal Rights and Obligations’, (, which are based on the above-mentioned nine major aspects), in-depth discussion, including the transparency, Open Banking, PSD2, de-identification, liability for damages, etc. Secondly, this thesis introduces the relevant financial legal system measures through the usage of artificial intelligence in the financial service in countries such as the United States, the European Union, and the United Kingdom. In the United States, the US government released the ‘Accelerating America’s Leadership in Artificial Intelligence’ executive order in 2019, also, IEEE announced the ‘The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems’ in the academia. Furthermore IBM and Microsoft has also promoted the artificial intelligence being implemented in the design and development of algorithms in the industry. On the other side, in the European Union, European Parliament has signed the ‘Artificial Intelligence Cooperation Declaration’, and released the ‘com/2018/237 final’ in 2018, combining with the General Data Protection Regulation (GDPR) to accelerate the promotion of artificial intelligence technology to the financial services in the EU. In addition, in the United Kingdom, the government released the ‘AI in the UK: ready, willing and able?’, which includes the discussion of the artificial intelligence from different aspects, such as concept, participation, design, research and development, use, life, health care, risk reduction, and shaping the future of artificial intelligence, etc. In order to promote the development of artificial intelligence technology in the various industries of the UK. Finally, this thesis refers the way financial services operate Artificail Intelligence in the United States, the European Union, and the United Kingdom, to list the main laws, policies and plans for the development of artificial intelligence in our country. At the same time, according to the application of robot investment consultants in our country, enumerate the current laws and regulations. And then investigate the possible impacts and effects in our financial legal system at three aspects, ‘Ethical Issues’, ‘Privacy Issues’, and ‘Related Legal Rights and Obligations’. Then, we summarize the conclusions and recommendations at the end of this thesis.

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Pires, Sofia Filipa Gonçalves. "O impacto da inteligência artificial no setor bancário." Master's thesis, 2020. http://hdl.handle.net/10071/21722.

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Os mercados financeiros internacionais, onde os bancos assumem um papel fundamental, defrontam uma crescente mudança organizacional da sua atividade, possibilitada pelo forte impacto da tecnologia, a chamada Transformação Digital, e é precisamente essa mudança que se prepõe analisar na presente dissertação. O objetivo da presente dissertação é, portanto, analisar e estudar o impacto que a Inteligência Artificial tem tido sobre o Setor Bancário, com especial atenção para o Banco Best e para o Fundo "Acatis Artificial Intelligence Global Equities". De forma a chegar a uma possível conclusão, a metodologia empregue assentou em um método misto, ou seja, uma metodologia quantitativa, através da análise de relatórios do Banco Best e comparação de rentabilidade, e uma metodologia qualitativa através de uma entrevista ao Diretor de Investimentos do Banco Best, o Dr. Carlos Almeida, com o objetivo de ser possível ter acesso à complexidade e a outras perspetivas do tema que se pretendeu estudar. Os resultados empíricos da presente dissertação permitiram concluir que o investimento de Inteligência Artificial no Setor Bancário apresenta impactos positivos, ainda que atualmente, a Inteligência Artificial não conseguiu ainda superar o Homem em termos de rendibilidade. Contudo, os resultados obtidos apesar de positivos, mostram que a banca se deverá unir para utilizar esta tecnologia como uma ferramenta para que se possa obter capacidade competitiva e por sua vez estimular o crescimento.
The international financial markets, where banks assume a central role, face a growing organizational change in their activity, due to the strong impact of technology, the so-called Digital Transformation, and it is precisely this change that we intend to analyze in this dissertation. The purpose of this dissertation is, therefore, to analyze and study the impact of Artificial Intelligence on the Banking Sector, with special focus on Banco Best and the Acatis Artificial Intelligence Global Equities Fund. In order to do that, the methodology employed was based on a mixed method, which encompasses a quantitative methodology, through the analysis of reports from Banco Best and the comparison of profitability, and a qualitative methodology through an the realization of an interview with the Investment Director at Banco Best, Dr. Carlos Almeida, with the aim of making it possible to access the complexity and other perspectives of the topic that was intended to be studied. Empirical results of the present dissertation allowed to conclude that the investment of Artificial Intelligence in the Banking Sector presents positive impacts, although at the present time Artificial Intelligence has not yet managed to surpass Man in terms of profitability. However, the results obtained, despite being positive, show that banks should unite to use this technology as a tool to obtain competitive capacity and, in turn, stimulate growth.

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Garcia, Miguel Alexandre da Cruz. "Impacto da inteligência artificial no setor financeiro." Master's thesis, 2021. http://hdl.handle.net/10071/23975.

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Tendo em consideração o atual panorama empresarial, um dos principais temas discutidos corresponde à transição da sociedade para a era da informação. É cada vez maior a importância da adaptação dos modelos de negócio e adoção de sistemas capazes de interpretar grandes quantidades de informação, recorrendo a Inteligência Artificial (IA). A indústria financeira é um dos setores da economia que irá, mais cedo ou mais tarde, enfrentar os desafios da transição para a era da informação. O objetivo deste estudo passa por perceber quais os fatores mais determinantes na decisão de adoção de IA no setor financeiro e quais as implicações que esta transição tem para a estrutura do setor, tendo em consideração os principais desafios associados não só aos sistemas inteligentes, mas também às barreiras existentes neste setor. Após a realização desta investigação, foi possível concluir que apesar de os benefícios associados à IA e sistemas inteligentes serem claros, existe ainda alguma inércia relativamente à adoção destes, associada não só aos riscos ligados à IA, como questões de transparência, mas também questões associadas à cultura das empresas. Foi igualmente possível concluir que as perceções relativas ao impacto que a adoção de IA poderá ter no setor são diferentes quando observadas numa ótica operacional, junto dos indivíduos que irão efetivamente lidar com estas ferramentas, do que numa ótica estratégica. Adicionalmente, a adoção de IA comporta benefícios não só ligados às potencialidades dos sistemas em si, mas também vantagens relacionadas com a entrada nesta indústria de empresas que possuem tecnologias inovadoras.
Considering the current business landscape, one of the main issues corresponds to society's transition to the information age. It is increasingly important to adapt business models and adopt systems capable of interpreting large amounts of data, using Artificial Intelligence (AI). The financial industry is one of the sectors of the economy that will, sooner or later, face the challenges of this transition. The objective of this study is to understand what the most determinant factors in the decision to adopt AI are in the financial sector and what implications this transition has for the structure of the industry, taking into account the main challenges associated not only with the intelligent systems, but also with the existing barriers in this sector. After conducting this research, it was possible to conclude that although the benefits associated with AI and intelligent systems are clear, there is still some inertia regarding their adoption, associated not only with the risks associated with AI, such as transparency issues, but also issues associated with corporate culture. It was also possible to conclude that perceptions regarding the impact that AI may have on this industry are different when observed from an operational perspective, among the individuals who will effectively deal with these technologies, than from a strategic perspective. Additionally, the adoption of AI brings benefits not only related to the potential of the systems themselves, but also advantages related to the entry in this industry of companies that have innovative technologies.

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Spanaki, K., E. Karafili, Uthayasankar Sivarajah, S. Despoudi, and Zahir Irani. "Artificial Intelligence and Food Security: Swarm Intelligence of AgriTech Drones for Smart AgriFood Operations." 2020. http://hdl.handle.net/10454/17961.

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Yes
The Sustainable Development Goals (SDGs) present the emerging need to explore new ways of AgriFood production and food security as ultimate targets for feeding future generations. The study adopts a Design Science methodology and proposes Artificial Intelligence (AI) techniques as a solution to food security problems. Specifically, the proposed artefact presents the collective use of Agricultural Technology (AgriTech) drones inspired by the biomimetic ways of bird swarms. The design (artefact) appears here as a solution for supporting farming operations in inaccessible land, so as unmanned aerial devices contribute and improve the productivity of farming areas with limited capacity. The proposed design is developed through a scenario of drone swarms applying AI techniques to address food security issues. The study concludes by presenting a research agenda and the sectoral challenges triggered by the applications of AI in Agriculture.
European Union's H2020 research and innovation programme under the Marie Skłodowska-Curie grant (agreement No. 746667)
The full-text of this article will be released for public view at the end of the publisher embargo on 25 Feb 2022.

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Cordeiro, Pedro Filipe da Silva. "Implementação de equipamentos auxiliares do processo de injeção de peças para o sector automóvel." Master's thesis, 2017. http://hdl.handle.net/10400.26/25377.

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O presente relatório descreve as atividades desenvolvidas pelo aluno no Estagio Curricular, integrado no Mestrado em Engenharia Mecânica – Especialização em Construção e Manutenção de Equipamentos Mecânicos, na empresa CIE Plasfil, sedeada na Figueira da Foz. Este documento descreve todo o processo realizado desde a receção do equipamento até entrar em produção, passando por verificações de construção, a validação do funcionamento do equipamento e estudo do espaço onde vai produzir. Estes equipamentos são máquinas de montagem, de testes funcionais, de inserção de componentes e de validação da produção que garantem a qualidade e os requisitos apresentados pelo cliente. Hoje em dia, com o aumento da competitividade nos mercados, as empresas têm de ser mais exigentes em todos os seus processos, para conseguirem sobreviver. A CIE Plasfil não é diferente, e para cumprir os requisitos dos clientes são apresentadas metodologias implementadas na empresa, que fortaleciam os trabalhos de melhoria contínua. Nestes equipamentos uma metodologia implementada era o poka-yoke, que é um procedimento anti erro e que permitia aos operadores terem uma maior confiança e aproveitamento na produção. Para assegurar esta confiança, durante este estágio foram realizadas várias atividades de otimização e melhoria em equipamentos, bem como, trabalhos de manutenção corretiva e preventiva com o objetivo de garantir o devido funcionamento dos equipamentos e a qualidade perante o cliente, e assim, planear as melhores soluções para a empresa ser mais competitiva. Por ultimo, o documento descreve ainda uma tecnologia que pode ser utilizada neste tipo de equipamento ou numa linha de produção, e que ajuda a garantir a qualidade do produto e da produção. Esta tecnologia é a inspeção por visão artificial e é apresentada através da configuração de um software, com um exemplo que poderia ser prático.

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Carmona, Pedro Bernardo Resina Baptista Barreiros. "Automated Machine Learning implementation framework in the banking sector." Master's thesis, 2022. http://hdl.handle.net/10362/134199.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Automated Machine Learning is a subject in the Machine Learning field, designed to give the possibility of Machine Learning use to non-expert users, it aroused from the lack of subject matter experts, trying to remove humans from these topic implementations. The advantages behind automated machine learning are leaning towards the removal of human implementation, fastening the machine learning deployment speed. The organizations will benefit from effective solutions benchmarking and validations. The use of an automated machine learning implementation framework can deeply transform an organization adding value to the business by freeing the subject matter experts of the low-level machine learning projects, letting them focus on high level projects. This will also help the organization reach new competence, customization, and decision-making levels in a higher analytical maturity level. This work pretends, firstly to investigate the impact and benefits automated machine learning implementation in the banking sector, and afterwards develop an implementation framework that could be used by banking institutions as a guideline for the automated machine learning implementation through their departments. The autoML advantages and benefits are evaluated regarding business value and competitive advantage and it is presented the implementation in a fictitious institution, considering all the need steps and the possible setbacks that could arise. Banking institutions, in their business have different business processes, and since most of them are old institutions, the main concerns are related with the automating their business process, improving their analytical maturity and sensibilizing their workforce to the benefits of the implementation of new forms of work. To proceed to a successful implementation plan should be known the institution particularities, adapt to them and ensured the sensibilization of the workforce and management to the investments that need to be made and the changes in all levels of their organizational work that will come from that, that will lead to a lot of facilities in everyone’s daily work.

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Hoppe, Niklas. "Disruptive innovation in the healthcare sector : the advent of AI chatbots." Master's thesis, 2020. http://hdl.handle.net/10400.14/31219.

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Over the last several decades, the healthcare sector has faced many challenges. These include a shortage of doctors, especially in rural areas, high clinical costs, and an increasing number of diseases needing to be treated. This thesis focuses on the potential and the limitations of an innovative way to solve problems in healthcare – use of AI chatbots. We highlight the user’s perspective concerning AI healthcare chatbot technology. Based on qualitative and quantitative research, we conclude that this novel technology offers new opportunities for diagnostics, enables work to be carried out more efficiently, and gives the patient the power to “self-diagnose”. AI chatbots have not yet reached their full potential due to legal restrictions, insufficient data, and the lack of capacity to integrate them into different systems. Even though the number of AI chatbot users is increasing, people trust chatbots less than doctors. To enhance user engagement and create a higher level of trust, credible entities such as doctors and the government could recommend the use of AI chatbots. The general acceptance of chatbots has to be analyzed per country since it is explained by socio-economic factors (education, age, income), personality-related factors (attitude to new things, curiosity) and communication behavior factors.
Nas últimas décadas, o setor da saúde enfrentou muitos desafios. Nestes podem destacar-se a escassez de médicos, especialmente nas zonas rurais, custos de tratamento elevados e um número crescente de doenças a precisarem de ser tratadas. Esta tese foca-se no potencial e nas limitações de uma forma revolucionária de resolver problemas na área da saúde – o uso de chatbots de IA. Destacamos a perspetiva do utilizador em relação à assistência médica através da tecnologia de chatbot de IA. Com base em pesquisas qualitativas e quantitativas, concluímos que esta tecnologia inovadora oferece novas oportunidades para diagnósticos, permite que o trabalho seja realizado com mais eficiência e oferece ao paciente a capacidade de se autodiagnosticar. Os chatbots de IA ainda não atingiram todo o seu potencial devido a restrições legais, dados insuficientes e à falta de capacidade de integrá-los em diferentes sistemas. Ainda que o número de utilizadores de chatbot de IA esteja a aumentar, as pessoas confiam menos nos chatbots do que nos médicos. Para encorajar um maior envolvimento do utilizador e criar um nível mais alto de confiança, entidades credíveis como médicos e o governo podem recomendar o uso de chatbots de IA. A aceitação generalizada dos chatbots deve ser analisada por país, uma vez que é explicada por fatores socioeconómicos (educação, idade, rendimento), fatores relacionados com a personalidade (atitude perante coisas novas, curiosidade) e fatores de comportamento na comunicação.

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Nilsson, Adam, and Abbas Hathalia. "Drömmen om Artificiell Intelligens (AI) : En studie angående utmaningar med att implementera Artificiell Intelligens inom myndigheter." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25471.

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The purpose of the study was to find out what challenges governments have encountered when implementing Artificial Intelligence. The method used was qualitative and the interviews were conducted remotely. Four governments were interviewed where respondents were asked questions about what they had experienced as challenges in the implementation of AI. The results were analyzed against previous studies and compiled by picking out themes from the transcribed interviews. The results of the survey identify a number of challenges linked to three main themes: the lack of knowledge, challenges around data and when challenges arise.

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Schneider, Leandro Rodrigo. "Oportunidades e desafios da inteligência artificial no setor público: o caso do tribunal de contas de Portugal." Master's thesis, 2021. http://hdl.handle.net/10071/24312.

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A Inteligência Artificial tem se destacado entre as tecnologias digitais na modernização administrativa do setor público pelo grande potencial de aplicações e soluções que podem ser exploradas nos mais diversos níveis de atuação do Estado. A fiscalização do uso de recursos financeiros públicos é uma preocupação crescente pelo facto da sua escassez, e a verificação de sua adequada aplicação passa a ser um grande desafio no mundo atual. O Tribunal de Contas vem utilizando tecnologias que abarcam o conceito de Inteligência Artificial e este trabalho procura explorar e compreender, por meio de um estudo de caso, como estas tecnologias estão sendo utilizadas para controlar e fiscalizar o uso de recursos financeiros públicos em Portugal. Em fase inicial de desenvolvimento, o uso das tecnologias visa subsidiar e apoiar as ações dos auditores, nas prestações de contas e contratações das entidades sob jurisdição do tribunal, com o intuito de analisar dados e informações e encontrar modelos em rede que possibilitam perceber grupos influentes e encontrar padrões que fundamentam o desencadeamento de novas ações de avaliação. Os resultados obtidos reforçam a eficiência e eficácia das tecnologias de Inteligência Artificial em suas aplicações, porém, servem apenas como indicativos, pois ainda não englobam todas as entidades e não possuem histórico suficiente para gerar previsões.
Artificial Intelligence has stood out among digital technologies in the administrative modernization of the public sector due to the great potential of applications and solutions that can be explored in the most diverse levels of activity in the State. The inspection of the use of public financial resources is a growing concern due to their scarcity, and the verification of their proper application becomes a great challenge in today's world. The Court of Auditors has been using technologies that encompass the concept of Artificial Intelligence and this work seeks to explore and understand, through a case study, how these technologies are being used to control and supervise the use of public financial resources in Portugal. At an early stage of development, the use of technologies aims to subsidize and support the actions of auditors, in the rendering of accounts and contracts of entities under the jurisdiction of the court, in order to analyze data and information and find network models that make it possible to perceive influential groups and finding patterns that underlie the triggering of new assessment actions. The results obtained reinforce the efficiency and effectiveness of Artificial Intelligence technologies in their applications, however, they only serve as indicatives, as they do not yet encompass all entities and do not have sufficient history to generate forecasts.

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Dissertations / Theses on the topic 'Artificial section'

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