97 research outputs found

    THE STUDY OF NARRATIVE STRUCTURE IN STYLISTIC STORYTELLING TYPE, COMMIT STRIP (BASED ON CHILDREN'S LITERATURE)

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    Abstract. Commit strip, in French called "Bande dessinée", is sort of the comic story that presents anecdotein the form of a series of sequential images accompanying the text, which follows a message and a narration in the aggregate of images. In terms of content on imagination and historical, it implies that it is humorous, which is why it has known as " Commit strip ". If commit strip is known as an illustrated story against verbal stories, this story also has structural elements - unique narratives; But the question that arises is that, in the commit strip stories, what are the position of the narrator, audience Story, characterization, and point of view? For instances, how to determine the personality of a person in these stories? Where is the narrator of story and first person or third person point of view?Such questions have prompted author to carry out the present research and use a narrative approach to analyze the structural elements-narratively of the quantity of stretches in the children's literature.Keyword: Narration, Text, Story elements, Commit strip

    Single top quark production as a probe of anomalous tqγtq\gamma and tqZtqZ couplings at the FCC-ee

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    In this paper, a detailed study to probe the top quark Flavour-Changing Neutral Currents (FCNC) tqγtq\gamma and tqZtqZ at the future ee+e^{-}e^{+} collider FCC-ee in three different center-of-mass energies of 240, 350 and 500 GeV is presented. A set of useful variables are proposed and used in a multivariate technique to separate signal ee+Z/γtqˉ (tˉq)e^- e^+ \rightarrow Z/\gamma \rightarrow t \bar{q} ~ ( \bar{t} q ) from standard model background processes. The study includes a fast detector simulation based on the {\sc delphes} package to consider the detector effects. The 3σ3 \sigma discovery regions and the upper limits on the FCNC branching ratios at 95\% confidence level (CL) in terms of the integrated luminosity are presented. It is shown that with 300 fb1^{-1} of integrated luminosity of data, FCC-ee would be able to exclude the effective coupling strengths above O(104105){\cal O} (10^{-4}-10^{-5}) which is corresponding to branching fraction of O(0.010.001){\cal O}(0.01-0.001)\%. We show that moving to a high-luminosity regime leads to a significant improvement on the upper bounds on the top quark FCNC couplings to a photon or a ZZ boson.Comment: 21 Pages, 6 Figures, 8 Table

    Blockchain Recommender Systems using Blockchain Data

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    Blockchain systems allow a network of pseudo-anonymous users (identified only by their public key) to maintain a secure transaction ledger in a decentralized manner. Transactions are executed and recorded on the ledger by programs called smart contracts. Decentralized applications (dApps) can be built on top of blockchains, for tasks such as exchanging cryptocurrencies and other digital assets, without the need for trusted third parties such as banks. As is the case with traditional Web applications, personalization is key to user acquisition and retention in decentralized systems. We therefore ask the following question in this thesis: how can we build effective blockchain recommender systems? To answer this question, we turn to collaborative filtering, a popular recommendation approach that captures similarities among users in terms of their transaction histories. For example, if two users liked movies a, b, c, and d, and the first user additionally liked movie e, then collaborative filtering may suggest movie e to the second user. The main technical challenge we address is how to map smart contract code to the underlying items or concepts that may be recommended, e.g., a smart contract that facilitates an in-game purchase using Bitcoin may map to the “gaming” concept. Using this mapping and real-world data from the Ethereum network, which is the largest smart-contract-enabled platform, we test two collaborative filtering systems: a simple and fast Matrix Factorization (MF) algorithm and a more complex one based on Graph Neural Networks (GNN). Our empirical results show that GNN outputs more effective recommendations, at the expense of latency. We conclude with an overview of a blockchain-native implementation of our framework as a decentralized recommendation service, and we discuss the corresponding practical challenges such as incentive mechanisms (tokenomics)

    A Comparative Survey of Female Figures in Persian Miniatures: Studying Form, Color and Content of Miniatures by Moein Mosaver and Hosein Behzad

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    Moein Mosaver and Hosein Behzad depicted beauty in the form of female figures using their unique ways of applying form, color, and content. The purpose of the present research was to study the way female figures are drawn in works of Mosaver and Behzad, compare them, and find out the relationship between them to finally answer the main research question, which concerns finding the similarities and differences between the works of both artists in form, color, and content. The method of the research was qualitative, the way the data was processed was descriptive-analytic, and the information was gathered through library sources. Regarding the time gap between the lives of saver and Behzad, it seems there should be similarities and differences between their miniatures. The results of the research showed that the composition in the works of both artists is mostly vertical and centralized, and the primary color blue and the secondary colors green, purple, and orange are mostly used. Foreign influences and the impact of the economic conditions are obvious in their works. Some of the differences between their works are the application of more primary and warm colors in Mosaver’s works and less variety of color in Behzad’s, while the latter’s lines are freer. Behzad also used perspective in his miniatures, and he preferred content over form

    Comparison of emotional intelligence in working couples in Gorgan

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    The present study was formulated to determine emotional health in working couples of Gorgan city in 2010.Samples were selected via cluster sampling method after deriving the statistical facts about working males and females in Gorgan City and finally, 100 people (50 couples) were selected. Bar-On questionnaire was selected to measure emotional intelligence due to comprehensiveness, simplicity, and conformity to Iranian culture. The collected data were subjected to descriptive statistics (mean and standard deviation) in SPSS Software. Then, the data were analyzed through inferential statistics. The results obtained from the present study showed that there is no significant difference in emotional intelligence of working females (1.995) compared to their working husbands (1.960)

    Développement des méthodes d’ingénierie pour la spécification et la quantification du bruit structurel SBN dans les cabines des hélicoptères

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    La prédiction du comportement vibroacoustique à l’intérieur d’une cabine d’hélicoptère nécessite la modélisation vibroacoustique de l’ensemble de la boite de transmission principale, toit et fuselage. Ce projet a pour objectif de développer et mettre en place une méthode hybride au profit des constructeurs d’hélicoptères pour leur permettre de prédire le bruit solidien à l’intérieur de la cabine, hors les conditions de fonctionnement d’origine de l’hélicoptère. Le but est de pouvoir caractériser les forces injectées dans le toit de l’hélicoptère à la suite du fonctionnement de la boite de transmission principale, quantifier le bruit solidien rayonné à l’intérieur de la cabine, identifier les chemins de transfert dominants, et mettre en place des solutions de conception pour réduire la transmission solidienne de vibrations mécaniques et par la suite diminuer la transmission acoustique du bruit dans la cabine. Les méthodes développées et utilisées sont basées sur les techniques d’analyse des chemins de transfert et de la sous-structuration dynamique, en prenant en compte plusieurs paramètres qui peuvent influencer la qualité des résultats.La réduction des nuisances sonores dans les hélicoptères constitue un élément compétitif dans le marché, et une préoccupation pour la santé de l’équipage. La prédiction du comportement vibroacoustiques à l’intérieur de la cabine nécessite la modélisation vibroacoustique de l’ensemble de la boite de transmission principale, toit et fuselage pour comprendre les phénomènes de transmission vibroacoustique à travers ces sous-systèmes. Ce projet a pour objectif de développer et mettre en place une méthode hybride au profit des constructeurs d’hélicoptères pour leur permettre de prédire le bruit solidien SBN à l’intérieur de la cabine, sans avoir besoin d'opérer l’hélicoptère dans des conditions réelles. Pour cela, il faut caractériser les forces injectées sur le toit de l’hélicoptère, quantifier le bruit solidien rayonné à l’intérieur de la cabine, identifier les chemins de transfert dominants, et mettre en place des solutions de conception pour réduire la transmission solidienne de vibrations mécaniques et par la suite diminuer la transmission acoustique du bruit dans la cabine. Plusieurs études numériques et expérimentales ont été réalisées sur des systèmes académiques représentatifs d’hélicoptère et systèmes réels. Les méthodes développées et utilisées sont basées sur les techniques d’analyse des chemins de transfert et de la sous-structuration dynamique, en considérant plusieurs paramètres, comme le couplage vs le découplage, l’utilisation des matrices de sous-mobilité à la place d’une mobilité globale, le nombre des points indicateurs pour déterminer les forces équivalentes, la méthode d’inversion, et le nombre des degrés de liberté choisis. Une première partie de cette thèse porte sur la caractérisation expérimentale d’un isolateur vibratoire utilisé dans les avions. Une méthode inverse hybride expérimentale a été développée pour permettre sa caractérisation sur un banc d’essai dans le laboratoire, pour mesurer les forces transmises aux structures connectées. La deuxième partie concerne une étude numérique effectuée sur un système représentatif d’un hélicoptère. Les mesures réalisées en utilisant les méthodes d’intérêts (TPA et CB-TPA), ont pour but d’investiguer leurs applicabilités sur le système et vérifier la qualité des résultats. La troisième partie est dédiée aux mesures expérimentales effectuées dans le laboratoire sur le système académique représentatif d’un hélicoptère, pour mettre en application les méthodes utilisées, et vérifier les résultats obtenus. La dernière partie est réservée aux études expérimentales réalisées sur un hélicoptère Bell 407. À partir des propriétés mécaniques des sous-systèmes, les méthodes permettent de prédire le comportement vibroacoustique à l’intérieur de la cabine. La contribution des chemins de transfert dominants est étudiée, et les résultats montrent que les méthodes proposées sont capables de prédire le bruit solidien, permettant aux constructeurs d’hélicoptères de partager le travail entre plusieurs équipes pour réduire le temps des mesures, et accélérer le processus de correction avant la phase de l’assemblage final, ce qui permet sans doute de réduire le niveau de bruit rayonné dans la cabine.Abstract : The reduction of noise in helicopters is a competitive element in the market, and a concern for the health of the crew. The prediction of the vibroacoustic behavior inside the cabin requires the vibroacoustic modeling of the entire main gearbox, roof, and fuselage to understand the vibroacoustic transmission phenomena through these subsystems. The objective of this project is to develop and implement a hybrid method for the benefit of helicopter manufacturers to enable them to predict structure-borne-noise SBN inside the cabin, without having to operate the helicopter in real conditions. To do so, it is necessary to characterize the forces injected on the helicopter roof, to quantify the radiated structure-borne-noise inside the cabin, to identify the dominant transfer paths, and to implement design solutions to reduce the structure-borne transmission of mechanical vibrations and subsequently reduce the acoustic transmission of noise in the cabin. Several numerical and experimental studies have been performed on representative academic helicopter systems and real systems. The methods developed and used are based on the transfer paths analysis techniques and dynamic substructuring, considering several parameters, such as the coupling vs. the decoupling, the use of sub-mobility matrices instead of a global mobility, the number of indicator points to determine the equivalent forces, the inversion methods, and the number of degrees of freedom chosen. The first part of this thesis deals with the experimental characterization of an aircraft noise abatement isolator. An experimental hybrid inverse method has been developed to allow its characterization on a test bench in the laboratory, to measure the forces transmitted to the connected structures. The second part concerns a numerical study performed on a representative system of a helicopter. The measurements carried out using the methods of interest (TPA and CB-TPA), aim to investigate their applicability to the system and verify the quality of the results. The third part is dedicated to the experimental measurements carried out in the laboratory on the representative academic system of a helicopter, to apply the methods used, and to verify the results obtained. The last part is reserved for the experimental studies carried out on a Bell 407 helicopter. From the mechanical properties of the subsystems, the methods allow them to predict the vibroacoustic behavior inside the cabin. The contribution of the dominant transfer paths is studied, and the results show that the proposed methods can predict structure-borne-noise, allowing the helicopter manufacturers to share the work between several teams to reduce measurement time, and speed up the process of correction before the final assembly phase, which undoubtedly reduces the level of noise radiated into the cabin
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