This thesis considers the experiences that motivated the creation of an 1863 painting by American artist Eastman Johnson entitled The Lord is My Shepherd. An examination of the painting—which depicts a black man reading a Bible—reveals multiple artistic, social, political, and spiritual influences. Created in the midst of the American Civil War, the painting's inspiration derived from Johnson's New England childhood, training in Europe, encounters with the Transcendentalist movement, and his abolitionist views. As a result, The Lord is My Shepherd is a culminating work in Johnson's oeuvre that was prompted by years of experience and observations in an age of rampant racism and civil war. It is also argued that The Lord is My Shepherd has diaristic qualities in that Johnson explored significant social and political issues of the day such as slavery through his work. Before now, this painting has been considered a relatively minor work within Johnson's oeuvre. This thesis seeks to change that perception and raise awareness of the contextual significance of The Lord is My Shepherd.

No description available.

The dissertation examines how image-making, a common pastime, was made common. It investigates the ways in which the production and consumption of images in the context of the North American family contributed to the development of a distinctly domestic and privatized visual culture, and the transformation of the home into a site for privatized spectatorship. / Four cultural forms (No. 1 Kodak, Box Brownie, Cine Kodak and Cine Kodak 8) are specified in this development, all pioneered by the Eastman Kodak Company. The dissertation traces Eastman Kodak's direct involvement in the popularization of image practices. It analyzes strategies used by them to make this possible, namely an appeal to the becoming lifestyles of the bourgeois and middle-classes. / The analysis links the popularization of image-making and consuming practices to other popular amusements (i.e. cycling, cinema-going) to work against an artifact-centred analysis. Issues of gender and generation are critically evaluated as concepts used to instill image-making as a popular, family practice. Shifts in modern temporal and spatial experience, as well as mobility are also explored in relation to popular image-making.

Plant-wide performance monitoring has generated a lot of interest in the control engineering community. The idea is to judge the performance of a plant as a whole rather than looking at performance of individual controllers. Data based methods are currently used to generate a variety of statistical performance indices to help us judge the performance of production units and control assets. However, so much information can often be overwhelming if it lacks precise information. Powerful computing and data storage capabilities have enabled industries to store huge amounts of data. Commercial performance monitoring softwares such as those available from many vendor companies such as Honeywell, Matrikon, ExperTune etc typically use this data to generate huge amounts of information. The problem of data overload has in this way turned into an information overload problem. This work focuses on developing methods that reconcile these various statistical measures of performance and generate useful diagnostic measures in order to optimize process performance of a unit/plant. These methods are also able to identify the relative importance of controllers in the way that they affect the performance of the unit/plant under consideration. / Process Control

This dissertation engages the question of what a queer aesthetics might look like in the context of contemporary music composition. Starting with a discussion of the problematics of “defining” queer (aesthetic) practices, I look at Pauline Oliveros’ 𝘚𝘰𝘯𝘪𝘤 𝘔𝘦𝘥𝘪𝘵𝘢𝘵𝘪𝘰𝘯𝘴, Julius Eastman’s 𝘎𝘢𝘺 𝘎𝘶𝘦𝘳𝘳𝘪𝘭𝘭𝘢 and Neo Hülcker’s 𝘈 𝘣𝘰𝘥𝘺 𝘦𝘴𝘴𝘢𝘺. 𝘍𝘪𝘤𝘵𝘪𝘰𝘯, 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 to uncover particular resistant and subversive strategies present in their works. In addition to a close examination of the original score materials, I look into queer theories and writings from fields other than music, such as dance/performance and the visual arts, in order to identify and apply some of the traits that could be called queer aesthetics (or practices/methodologies) to the field of contemporary music composition. Among the topics discussed will be considerations on time/timing, utopia/futurity, professionalism/failure, queer subject matter and form/format. Avoiding the trap of closing in on a canonization of queer music practices, it is the stated goal of this dissertation to expand the framework and contribute to a new understanding of what queer composition within the context of Western classical music might look like.

No description available.

[pt] A humanidade está vivenciando a Quarta Revolução Industrial, caracterizada pela implementação global da internet, utilização de inteligência artificial e automatização dos processos. Este último é de grande importância para indústria química, uma vez que seu desenvolvimento possibilitou um aumento significativo da quantidade de dados armazenados diariamente, o que gerou uma demanda para análise desses dados. Este enorme fluxo de informações tornou o sistema cada vez mais complexo com uma aleatoriedade de falhas no processo que se identificadas poderiam ajudar a melhorar o processo e evitar acidentes. Uma solução ainda pouco comum na indústria, porém com grande potencial para identificar estas falhas de processo com excelência, é a emergente inteligência artificial. Para lidar com esta questão, o presente trabalho realiza a detecção e identificação de falhas em processos industriais através da modelagem de redes neurais artificias. O banco de dados foi obtido através do uso do benchmark de processo Tennessee Eastman, implementado no Software Matlab 2017b, o qual foi projetado para simular uma planta química completa. A enorme quantidade de dados gerados pelo processo tornou possível a simulação em um contexto de Big Data. Para modelagem dos dados, foram tanto aplicadas redes neurais tradicionais feedforward, quanto redes recorrentes: Rede de Elman e Echo State Network. Os resultados apontaram que as redes feedforward e de Elman obtiveram melhores desempenhos analisados pelo coeficiente de determinação (R2). Assim, o primeiro modelo obteve melhor topologia com 37x60x70x1, algoritmo de treinamento trainlm, funções de ativação tansig para as duas camadas intermediárias e camada de saída ativada pela purelin com R2 de 88,69 por cento. O modelo da rede de Elman apresentou sua melhor topologia com 37x45x55x1, algoritmo de treinamento trainlm, funções de ativação tansig para as duas camadas intermediárias e camada de saída ativada pela função purelin com R2 de 83,63 por cento. Foi concluido que as redes analisadas podem ser usadas em controle preditivo de falhas em processos industriais, podendo ser aplicadas em plantas químicas no futuro. / [en] Humanity is experiencing the 4th Industrial Revolution, characterized by the global implementation of the internet, use of artificial intelligence and automation of processes. The last one is of great importance for the chemical industry, since its development allowed a significant increase in the amount of data stored daily, which generated a demand for the analysis of this data. This enormous flow of information made the system more and more complex with a randomness of process faults that if identified could help improve the process and prevent accidents. A solution not yet common in industry, but with great potential to identify these process faults with excellence, is the emergent artificial intelligence. To deal with this issue, the present work performs fault detection and diagnosis in industrial processes through artificial neural networks modeling. The database was obtained using the benchmark of processes Tennessee Eastman, implemented in Matlab 2017b Software, which is designed to simulate a complete chemical plant. The huge amount of data generated by the process made it possible to simulate in a Big Data context. For data modeling, were applied both traditional feedforward neural networks as well as recurrent networks: Elman Network and Echo State Network. The results indicated that the feedforward and Elman networks obtained better performances analyzed by the determination coefficient (R2). Thus, the first model obtained the best topology with 37x60x70x1, trainlm as training algorithm, tansig as activation functions for the two intermediate layers and output layer activated by the purelin function with R2 of 88.69 percent. The Elman network model presented its best topology with 37x45x55x1, trainlm as training algorithm, tansig as activation functions for the two intermediate layers and output layer activated by purelin function with R2 of 83.63 percent. It was concluded that the analyzed networks can be used in predictive control of fault in industrial processes and can be applied in chemical plants in the future.

Thesis (Ph. D.)--UCLA, 2008. / Vita. Description based on print version record. Includes bibliographical references (leaves 332-354).

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-09-19T19:51:49Z No. of bitstreams: 1 DaniloCurveloDeSouza_TESE.pdf: 2406741 bytes, checksum: 3c85e2f4d8b969a73d53e67544840db1 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-09-20T19:36:12Z (GMT) No. of bitstreams: 1 DaniloCurveloDeSouza_TESE.pdf: 2406741 bytes, checksum: 3c85e2f4d8b969a73d53e67544840db1 (MD5) / Made available in DSpace on 2017-09-20T19:36:12Z (GMT). No. of bitstreams: 1 DaniloCurveloDeSouza_TESE.pdf: 2406741 bytes, checksum: 3c85e2f4d8b969a73d53e67544840db1 (MD5) Previous issue date: 2017-06-23 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq) / A presente tese apresenta uma t?cnica inovadora ? designada como sistema especialista baseado em regras ponderado por tend?ncias (SEBRPT) ? fundamentada na integra??o de duas ferramentas existentes na ?rea de intelig?ncia artificial, os sistemas especialistas (SE) e a an?lise qualitativa de tend?ncias (QTA). Um dos objetivos desta abordagem ? usufruir das principais vantagens associadas a cada uma das ferramentas utilizadas, tais como a facilidade de se representar o conhecimento atrav?s de regras e a capacidade de extrair o comportamento e as tend?ncias de um sinal cont?nuo. Esta metodologia tamb?m permite preencher uma lacuna entre m?todos puramente baseado em n?meros (quantitativos) e m?todos puramente simb?licos (qualitativos), permitindo assim uma obten??o de resultados a partir de um processo de infer?ncia baseado tanto nos valores exatos como nas tend?ncias de um determinado sinal. Dessa forma, a t?cnica abordada possibilita a extra??o de um "fator de certeza" associado a uma regra previamente modelada por um especialista, descartando assim a l?gica puramente booleana (verdadeiro/falso) adotada nos sistemas especialistas cl?ssicos. O m?todo proposto permite uma ado??o direta em ambientes industriais, especialmente na ?rea de automa??o inteligente. Seus principais recursos e caracter?sticas, com aplica??o no monitoramento de processos industriais, ser?o demonstrados por simula??es e resultados experimentais baseados no benchmark conhecido como o processo de Tennessee Eastman.

博士(アメリカ研究) / Doctor of Philosophy in American Studies / 同志社大学 / Doshisha University