Orientadores: Maria Regina Wolf Maciel, Antonio Andre Chivanga Barros / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica / Made available in DSpace on 2018-07-27T23:52:32Z (GMT). No. of bitstreams: 1 Soares_Cintia_M.pdf: 6610044 bytes, checksum: 4b52b82aa749a3987b506a6240f74361 (MD5) Previous issue date: 2000 / Resumo: Devido à sua abrangência com os fenômenos de transferência de massa, calor e quantidade de movimento, capacidade e características operacionais, relações termodinâmicas e o amplo envolvimento com outros equipamentos industriais, o estudo dos processos de separação por destilação toma-se muito complexo, apesar de sua extensiva utilização nas indústrias químicas e petroquímicas. Por isto, trabalhos de grande relevância científica são ainda desenvolvidos para melhor entender os fenômenos relacionados e que permitem melhorar a sua operacionalidade. Assim, este trabalho teve como objetivo a avaliação experimental de uma coluna de destilação com pratos perfurados, permitindo averiguar o comportamento das eficiências de Murphree, O'Connell e da correlação de Barros & Wolf, além da avaliação dos perfis dos coeficientes de transferência de massa e calor ao longo do equipamento. Os dados experimentais obtidos foram utilizados para a validação dos modelos de estágios de equilíbrio e de não equilíbrio e da correlação de eficiência desenvolvida por Barros & Wolf. Para a realização deste trabalho, uma coluna de destilação, em aço inoxidável, contendo 8 pratos perfurados com vertedor e um sistema para controle da potência foram projetados e construídos. A coluna contém 8 pontos para a coleta de amostras de líquido e termopares acoplados em cada prato para a leitura de temperatura. Para cada experimento foram variadas as composições do etanol na alimentação e a potência fomecida ao refervedor para avaliar a influência da carga térmica sobre o comportamento das frações molares e da temperatura em uma coluna operada a refluxo total. Nos ensaios, trabalhou-se com o sistema etanolágua por ser de fácil determinação analítica e por existirem dados de equilíbrio precisos e alguns valores de eficiência. Após o alcance do estado estacionário, determinado a partir de leituras periódicas de temperatura ao longo do equipamento, foram feitas coletas de amostras de líquido em cada estágio da coluna, as quais foram analisadas empregando a técnica de cromatografia à gás. Com os dados da temperatura, composição do etanol e da água em cada estágio e da potência fomecida ao refervedor, foram calculadas as eficiências de Murphree e de O'Connell. Com a utilização de programas computacionais envolvendo a modelagem de estágios de equilíbrio (com a correlação de Barros & Wolf) e de não equilíbrio, desenvolvidos no Laboratório de Desenvolvimento de Processos de Separação da UNICAMP, foram realizadas simulações nas condições de operação dos experimentos, cujos dados obtidos foram utilizados para comparação com dados experimentais de forma a corroborar tais modelos. Os resultados obtidos mostraram que as modelagens de estágios de equil íbrio e de não equilíbrio reproduzem, com grande fidelidade, as condições reais do processo e representam o comportamento real dos coeficientes de transferência de massa e calor ao longo da coluna de destilação. Os resultados obtidos mostraram-se compatíveis com os dados da literatura / Abstract: Due to the relation with the mass, heat and momentum transfer phenomena, capacity and operational characteristics, thermodynamic properties and the wide relationship with other industrial equipment, the study of the separation processes by distillation becomes very complex, in spite of its extensive use in the chemical and petrochemical industries. For this reason, researches of great scientific relevance are still being developed for better understanding the related phenomena and for allowing the improvement of the operation. Thus, this work presents as objective the experimental study of a distillation column with sieve plates to evaluate the behaviour of the Murphree efficiency, Q'Connell and Barros & Wolf correlations and the mass and heat transfer coefficients along the equipment. The experimental data were obtained used for the validation of the equilibrium and nonequilibrium stage models and of the new efficiency correlation developed by Barros & Wolf. For these purposes, a stainless steel distillation column with eight sieve plates with down comer and a system for the power measuring were designed and built. The column contains eight spaced temperature/sample points. For each experiment, the ethanol feed composition and the heat duty were changed to evaluate the influence of the heat duty on the behaviour of the mole fractions and on the temperature profiles in the column operating at total reflux. After established the steady state, the liquid samples and the temperature were taken in each stage of the column, and the samples were analyzed using the gas chromatography technique. Using the temperature and ethanol and water compositions in each stage and the heat duty supplied to the reboiler, Murphree and Q'Connell efficiency were calculated. The programs involving the equilibrium stage model (with Barros & Wolf correlation) and the nonequilibrium stage model developed in the Laboratory of Separation Process Development (UNICAMP) were used in the simulations at the same conditions of the experiments. The data obtained with simulations were compared with experimental data to corroborate such models. The obtained results showed that the equilibrium stage model and the nonequilibrium stage model reproduce, with great fidelity, the real conditions of the process and they can be used to represent the real behaviour of the mass and heat transfer coefficients along the distillation column / Mestrado / Desenvolvimento de Processos Químicos / Mestre em Engenharia Química

Магистерская диссертация содержит описание речевого портрета Евгения Ройзмана, известного уральского общественного деятеля и блогера. В работе обобщены основные лингвистические подходы к изучению языковой личности и описанию речевого портрета, отражены основные характеристики блога как жанра интернет-коммуникации. Выявлена лингвокогнитивная, прагматическая и стилистическая специфика речевого портрета блогера Евгения Ройзмана. / The master's thesis contains a description of the speech portrait of Yevgeny Roizman known as a famous Ural public figure and blogger. Fundamental linguistic approaches to learning linguistic personality and describing speech portrait are summarized and main characterictics of blog as an Internet communication genre are reflected in the work. The author has identified cognitive, pragmatic and stylistic specifics of the speech portrait of the blogger Yevgeny Roizman.

No description available.

This thesis concerns the profession of the school special educational advisorr working in a mainstream primary school and his acting in favor of pupils with learning difficulities. The theoretical part describes the group of pupils with whom the school special educational advisor works and possibilities of this work, the cooperation with other partners (teachers, professionals and institutions outside the school and pupils' parents ) in supporting those pupils and the three-stage model of care for pupils at risk in school development. The practical part in the form of qualitative research examines how school special educational advisors acting in primary schools in Prague see themselves in their profession. KEY WORDS: School special educational advisor, school counseling centre, three-stage model of care, special education needs, prevention, diagnostics, intervention

This study explores complexity metrics for business artifact process models described by Case Management Model and Notation (CMMN). Process models are usually described using Business Process Management (BPM), which is a relatively mature discipline with a large number of practitioners. Over the last few decades a new way of describing data intensive business processes has emerged in BPM literature, for which traditional BPM is no longer adequate. This emerging method, used to describe more flexible processes, is called business artifacts with Guard-Stage-Milestone (GSM). The work on GSM influenced CMMN, which was created to fill a market need for more flexible case management processes for knowledge workers. Complexity metrics have been developed for traditional BPM models, such as the Business Process Model and Notation (BPMN). However, traditional BPM is not suitable for describing GSM or CMMN process models. Therefore, complexity metrics developed for traditional process models may not be applicable to business artifact process models such as CMMN. This study addresses this gap by exploring complexity metrics for business artifact process models using CMMN. The findings of this study have practical implications for the CMMN standard and for the commercial products implementing CMMN. This research makes the following contributions: • The development of a formal description of CMMN using first-order logic. • An exploration of the relationship between CMMN and GSM and the development of transformation procedures between them. • A comparison between the method complexity of CMMN and other popular process methods, including BPMN, Unified Modeling Language (UML) Activity diagrams, and Event-driven Process Charts (EPC). • The creation of a systematic literature review of complexity metrics for process models, which was conducted in order to inform the creation of CMMN metrics. • The identification of a set of complexity metrics for the CMMN standard, which underwent theoretical and empirical validation. This research advances literature in the areas of method complexity, complexity metrics for process models, declarative processes, and research on CMMN by characterizing CMMN method complexity, identifying complexity metrics for CMMN, and exploring the relationship between CMMN and GSM. / School of Computing / Ph. D. (Computer Science)

Real-world large-scale complex networks such as the Internet, social networks and biological networks have increasingly attracted the interest of researchers from many areas. Accurate modelling of the statistical regularities of these large-scale networks is critical to understand their global evolving structures and local dynamical patterns. Traditionally, the Erdos and Renyi random graph model has helped the investigation of various homogeneous networks. During the past decade, a special computational methodology has emerged to study complex networks, the outcome of which is identified by two models: the Watts and Strogatz small-world model and the Barabasi-Albert scale-free model. At the core of the complex network modelling process is the extraction of characteristics of real-world networks. I have developed computer simulation algorithms for study of the properties of current theoretical models as well as for the measurement of two real-world complex networks, which lead to the isolation of three complex network modelling essentials. The main contribution of the thesis is the introduction and study of a new General Two-Stage growth model (GTS Model), which aims to describe and analyze many common-featured real-world complex networks. The tools we use to create the model and later perform many measurements on it consist of computer simulations, numerical analysis and mathematical derivations. In particular, two major cases of this GTS model have been studied. One is named the U-P model, which employs a new functional form of the network growth rule: a linear combination of preferential attachment and uniform attachment. The degree distribution of the model is first studied by computer simulation, while the exact solution is also obtained analytically. Two other important properties of complex networks: the characteristic path length and the clustering coefficient are also extensively investigated, obtaining either analytically derived solutions or numerical results by computer simulations. Furthermore, I demonstrate that the hub-hub interaction behaves in effect as the link between a network's topology and resilience property. The other is called the Hybrid model, which incorporates two stages of growth and studies the transition behaviour between the Erdos and Renyi random graph model and the Barabasi-Albert scale-free model. The Hybrid model is measured by extensive numerical simulations focusing on its degree distribution, characteristic path length and clustering coefficient. Although either of the two cases serves as a new approach to modelling real-world large-scale complex networks, perhaps more importantly, the general two-stage model provides a new theoretical framework for complex network modelling, which can be extended in many ways besides the two studied in this thesis.

本論文嘗試以行為引發機制與行為抑制機制的觀點，探討非法且屬人際層面的男性攻擊行為，從中評估常表現攻擊行為個體的認知、情緒與行為缺陷。由於攻擊行為的特殊性，個體表現攻擊行為時，相關的行為機制包括表現該行為可能得到獎賞的行為引發機制﹔表現該行為可能得到懲罰的行為抑制機制﹔與攻擊他人時，被害者的非語文訊息引發的個體的暴力抑制機制。研究一根據暴力抑制機制的理論內容發展實驗工具，透過違反道德與違反慣例圖片組的呈現，了解高、中、低攻擊組的表現差異。結果發現高攻擊組對兩違反情境的嚴重程度評估較低，同時，在違反道德圖片組刺激下，高攻擊組表現較少的道德情緒與較少的同理行為。研究二則透過研究一發展的圖片組評估個體的暴力抑制機制運作能力，並結合Patterson與Newman的四階段理論發展實驗刺激，透過情境的操弄，了解高攻擊組之行為引發機制與行為抑制機制運作情形。結果發現經由兩套理論(暴力抑制機制與四階段理論)的結合，可將高攻擊組分為兩類，一類為暴力抑制機制運作正常，但行為引發機制運作過強﹔另一類為暴力抑制機制無法運作者。以認知、情緒與行為缺陷評估兩類高攻擊行為者發現，具有認知、情緒與行為缺陷的高攻擊行為者只有第二類。 / Based on a behavioral activation mechanism and two behavioral inhibition mechanisms, unlawful and interpersonal male aggression was studied. Moreover, the possibility of individuals’ cognitive, emotional, and behavioral deficiencies was evaluated. Due to the special quality of aggressive behavior, when a person acts aggressively, there will be three processes involved. They are the behavioral activation mechanism activated by reward, the behavioral inhibition mechanism induced by punishment, and the Violence Inhibition Mechanism (VIM) triggered by victims’ cues of distress. In order to study these three processes, two sets of pictures were developed from study 1 in order to evaluate how participants functioned their VIM. The results showed differences between High, Medium, and Low Aggression Group. The High Aggression Group evaluated incidents of moral/ conventional transgression less serious than the other two groups did. Also, they showed less moral emotions and less empathic behaviors than the other two groups did. Based on the sets of pictures developed from Study 1, a group of young offenders were divided into two groups based on their VIM functioning. Further, a survival game was developed from Patterson and Newman’s four-stage model. By manipulating situations to present reward/punishment, those young offenders showed different aggressive patterns. Young offenders with good VIM functioning behaved more aggressively when there were rewards. Relatively, young offenders with poor VIM functioning were less likely to be influenced by either reward or punishment. The implications were discussed in the article.

藝術欣賞二階段模型所發現的第二階段美感提升現象，若根據流暢性理論加以解釋，為單純曝光造成流暢性提升而導致的結果，未涉及認知處理歷程的影響，然而情緒評估理論以及Leder等人（2004）的美感經驗與評價歷程神經模型，都強調美感經驗為認知與情感的交互作用。針對上述兩類不同的理論觀點，本研究的目的在於探討認知涉入在美感歷程中的重要性，同時亦嘗試瞭解美感經驗中認知與情緒的關係。本研究讓參與者欣賞不同時代、流派與國家的具象藝術畫作，共分成三個實驗。實驗一收集美感相關情緒詞彙，發展美感情緒量表；實驗二與實驗三延伸Locher等人（2007）之實驗設計，分別收集美感偏好與美感情緒的資料，包含顯性與隱性指標，欲從美感提升現象中檢驗認知涉入對兩種美感歷程產物的影響力。實驗二關心美感偏好隨時間的變化，結果顯示認知涉入有助於偏好的提升，而隱性偏好亦有相似的趨勢；實驗三則發現美感情緒並沒有隨呈現時間增加而提升，而認知涉入的影響力也較不明顯，臉部EMG測量則未能反映出隱性美感情緒。本研究也發現，國畫較西畫更顯著地出現美感偏好或情緒的提升現象且較受認知涉入影響，此外，主觀偏好與不偏好的西畫在美感偏好與正向情緒類別之結果中，皆有類似適應的效果，其中主觀偏好畫作隨時間增長而正向情緒減少、負向情緒增加。綜合而言，本研究結果支持認知涉入為美感偏好提升之要素，但是無法確認認知與情緒兩者之間的互動關係，此外，藝術欣賞的第二階段不只有美感提升的現象，亦有美感下降的現象。 / The increase of aesthetic preference over viewing time was found in the study of the two-stage model of art appreciation. This phenomenon could be interpreted by mere exposure effect on improvement of fluency, not involving the influence from the cognitive processes. However, some theories (Silvia, 2011; Leder et al., 2004) emphasized the interaction between cognition and emotion in aesthetic experience. Based on these two kinds of theoretical perspective, the purpose of this study is to explore the role of cognitive involvement in aesthetic processes, and to understand the relationship between cognition and emotion in aesthetic experience. There are three experiments in this study, using the figurative art paintings from different era, genre and countries as the material. In Experiment 1, the emotional adjectives were collected to develop the scale of aesthetic emotion. In Experiment 2 and 3, the effects of cognitive involvement on aesthetic preference and emotion were tested, respectively. We extended the experiment design from Locher et al. (2007) to manipulate the degree of cognitive involvement additionally, with both the explicit and implicit indexes measured. Overall, the results showed that cognitive involvement helped the increase of preference, but not of emotion, because there was no increase of emotion founded. In addition, the effect of cognitive involvement in Chinese paintings was more obvious than that in West paintings. We also found that there could be adaptation effect in aesthetic process. In conclusion, the importance of cognitive involvement in preference increase was supported. But we cannot confirm the interaction between cognition and emotion. In addition, not only the increase of aesthetic preference and emotion, but also the decrease of them could be found in the second stage of art appreciation.

We are today facing an industrial revolution called Industry 4.0. Earlier in the human history, we have seen multiple industrial revolutions, but only after they actually happened. This is the first time we can see that an industrial revolution is on its way. Witht his knowledge, we have the chance to prepare for this large‐scaled technological change that we are standing in front of. Because of the impact that earlier industrial revolutions had on organizations, we can assume that Industry 4.0, as well, will impact and change work, tasks and the organizations themselves; especially when it comes to new high‐tech knowledge and skills that need to be learnt. Implementation, change, and high‐tech learning, together with a constantly running production can be stressful for anyone involved. For this reason, the purpose of this study is to come up with solutions on how you can facilitate the implementation of Industry 4.0, for employees and in an organizational point of view. We do this by conducting a literature study as well as interviewing organizations within the Swedish manufacturing industry. The structure of the analysis is built upon Lewin’s Three‐stage Model of Change. Here, we discuss and present solutions according to the stage in which they fit during the change process. Additionally, we investigate the concept of gamification as a tool to facilitate change. From our research, we conclude that motivation and engagement are keys in a technological change project such as Industry 4.0. Involvement, transparency and clarity are important aspects to make employees engaged throughout the project. Additionally, we present practical solutions for how organizations can educate their employees within Industry 4.0 techniques, as well as increase their motivation and engagement. / Vi står idag inför en industriell revolution som kallas Industri 4.0. Tidigare i historien har vi sett industriella revolutioner först efter att de inträffat. Det är nu första gången vi kanse att en industriell revolution är på väg. Med denna kunskap har vi idag en möjlighet att förbereda oss för den teknologiska utveckling som vi står inför. På grund av de tidigare industriella revolutionerna och den stora påverkan som de har haft på organisationer, kan vi anta att Industri 4.0 också kommer förändra jobb, uppgifter och organisationer – framför allt när det kommer till den nya teknologiska kunskap som nya maskiner och system kommer kräva av de som använder dem. Implementering, förändring och en hög nivå av teknologiskt lärande, samtidigt som produktionen fortfarande kommer snurra dygnet runt, kan vara stressigt för vem som helst. Därför syftar detta examensarbete till att ta fram lösningar för hur man kan förenkla implementationen av Industri 4.0, ur ett medarbetarperspektiv och för organisationen som helhet. Vi gör detta genom en litteraturstudie och genom intervjuer med organisationer inom den svenska tillverkningsindustrin. Strukturen på analysen bygger på Lewins trestegsmodell för förändring. Här diskuterar och presenterar vi lösningar enligt vilket steg de passar in i under förändringsprocessen. Vidare utvärderar vi gamification som ett verktyg för att underlätta förändringen. Detta arbete kommer fram till att det viktigaste för att genomföra ett förändringsarbete i denna omfattning är motivation och engagemang från både anställda och ledning. Involvering, transparens och tydlighet är viktiga delar för att göra anställda engagerade genom hela projektet. Vidare presenterar vi lösningar för hur man kan utbilda sina anställda inom Industri 4.0‐tekniker, och även för hur man kan öka motivation och engagemang.

This diploma thesis deals with the quality of the output of publicly available machine translation engines: Amazon Translate, Bing Translator, Deep L and Google Translate. The aim of the thesis was to qualitatively compare each machine translation engine and to test their capabilities on several types of texts - expressive, informative and operative. The analysis is carried out on translations of German texts into Czech. The thesis consists of two parts, in the theoretical part we discuss the origin and development of machine translation, its types, the automatic machine translation engines which are the object of our research, and we present a two-stage model for evaluating the quality of translation. In the empirical part, the results of the analysis based on the models of K. Reiß and A. Torrens are presented. These results show that the listed machine translation engines can be ranked from the highest to the lowest level of output quality as follows: Deep L, Google Translate, Bing Translator and Amazon Translate. Furthermore, it also turns out that the error rate correlates with the creativity of the text.