Monitoramento cinético de reações utilizando smartphone

TCC (graduação) - Universidade Federal de Santa Catarina. Centro de Ciências Físicas e Matemáticas. Curso de Química.Neste trabalho estudou-se a possibilidade de monitoramento cinético de reações químicas através da variação das intensidades RGB de imagens digitais obtidas por um smartphone. A metodologia mostrou-se altamente reprodutível com relação a confecção de curvas de calibração de soluções de 4-nitrofenolato, apresentando um desvio de triplicata bastante baixo. O estudo realizado também mostra a dependência da intensidade RGB em relação a variação de parâmetros como zoom aplicado, distância entre frasco e câmera e diâmetro do frasco. O método desenvolvido foi aplicado no monitoramento da reação de hidrólise homogênea do acetato de 4-nitrofenila, sendo que a constante de velocidade obtida foi bastante próxima daquela utilizando-se um espectrofotômetro UV-Vis tradicional. Como estudo de caso também foi realizado o monitoramento de reações heterogêneas: (i) redução de 4-nitrofenolato com Pd/C e (ii) decomposição do azul de metileno com H2O2, luz e TiO2. Nestes casos, a metodologia proposta mostrou-se ainda mais vantajosa que as técnicas classicamente empregadas pois o monitoramento em tempo real dispensa a centrifugação da amostra. Em geral, o método via imagens digitais mostrou alta reprodutibilidade e frequência analítica, permitindo a execução de análises simultâneas, com exatidão comparável a espectrofotometria. Trata-se de uma metodologia alternativa mais prática e barata para a obtenção de dados cinéticos em reações onde há mudança de coloração

Monument Monitor: using citizen science to preserve heritage

This research demonstrates how data collected by citizen scientists can act as a valuable resource for heritage managers. It establishes to what extent visitors’ photographs can be used to assist in aspects of condition monitoring focusing on biological and plant growth, erosion, stone/mortar movement, water ingress/pooling and antisocial behaviour. This thesis describes the methodology and outcomes of Monument Monitor (MM), a project set up in collaboration with Historic Environment Scotland (HES) that requested visitors at selected Scottish heritage sites to submit photographs of their visit. Across twenty case study sites participants were asked to record evidence of a variety of conservation issues. Patterns of contributions to the project are presented alongside key stakeholder feedback, which show how MM was received and where data collection excelled. Alongside this, the software built to manage and sort submissions is presented as a scalable methodology for the collection of citizen generated data of heritage sites. To demonstrate the applicability of citizen generated data for in depth monitoring and analysis, an environmental model is created using the submissions from one case study which predicts the effect of the changing climate at the site between 1980 - 2080. Machine Learning (ML) is used to analyse submitted data in both classification and segmentation tasks. This application demonstrates the validity of utilising ML tools to assist in the analysis and categorising of volunteer submitted photographs. The outcome of this PhD is a scalable methodology with which conservation staff can use visitor submitted images as an evidence-base to support them in the management of heritage sites

Análise multivariada de imagens digitais e hiperespectrais utilizando acessórios de baixo custo

Orientadora: Prof(a). Dr(a). Noemi NagataCoorientador: Prof. Dr. Frederico L. F. SoaresDissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Química. Defesa : Curitiba, 09/09/2022Inclui referênciasResumo: Análises químicas baseadas em imagens digitais têm sido amplamente investigadas devido ao seu caráter não invasivo e simplicidade de medição. A partir de um levantamento bibliográfico, é possível notar a importância do controle de parâmetros instrumentais e estruturais para a aquisição de imagens. No entanto, apesar do notável progresso na literatura, o papel de muitos desses parâmetros ainda não foi completamente desvendado. Outra limitação mais prática na aquisição de imagens está relacionada ao alto custo envolvido no acesso a instrumentos mais robustos. Com o intuito de contornar essas limitações, foram construídos dois protótipos de baixo custo para avaliar condições que influenciam diretamente na qualidade das imagens digitais e hiperespectrais. Para analisar as imagens obtidas, que contém alto número de dados, utilizou-se ferramentas multivariadas para análises exploratórias. Como principais resultados obtidos, verificou-se que a luminosidade é um parâmetro chave que deve ser controlado para a aquisição de imagens com alta confiabilidade. Nessa direção, um controle automatizado da luminosidade foi desenvolvido utilizando componentes eletrônicos durante a aquisição das imagens digitais. Ademais, verificou-se que as imagens digitais obtidas neste estudo proveram informações semelhantes àquelas contidas nos espectros de absorbância na região do visível obtidas com um espectrofotômetro UV-Vis. Por fim, notou-se que a impressão 3D contribuiu consideravelmente para aumentar a performance na aquisição de imagens hiperespectrais. De fato, com o modelo construído, alcançou-se imagens com resolução de 189 x 189 pixels e de 315 bandas compreendidas na faixa de comprimento de onda de 400-1052nm. Além disso, realizou-se um estudo exploratório em que foi possível identificar padrões de separação utilizando as imagens hiperespectrais de uvas adquiridas com o protótipo de baixo custo construído.Abstract: Chemical analyses based on digital images have been widely investigated due to their non-invasive character and simplicity of measurement. From a bibliographic survey, it is possible to notice the importance of controlling instrumental and structural parameters for image acquisition. However, despite the remarkable progress in the literature, the role of many of these parameters has yet to be thoroughly unraveled. Another, more practical, limitation concerning image acquisition is related to the high cost involved in accessing more robust instruments. In order to circumvent these limitations, two low-cost prototypes were built to evaluate conditions that directly influence the quality of digital and hyperspectral images. Multivariate tools were used for exploratory analyses to analyze the images obtained. As the main results were obtained, it was verified that luminosity is a crucial parameter that must be controlled for the acquisition of images with high reliability. In this direction, automated control of the luminosity was developed using electronic components during the acquisition of digital images. Furthermore, it was verified that the digital images obtained in this study provided information similar to that contained in the absorbance spectra in the visible region obtained with a UV-Vis spectrophotometer. Finally, it was noticed that 3D printing contributed considerably to increasing the performance of hyperspectral image acquisition. In fact, with the model built, images with a resolution of 189 x 189 pixels and 315 bands in the wavelength range of 400-1052nm were obtained. In addition, an exploratory study was carried out in which it was possible to identify patterns of separation using the hyperspectral images of grapes acquired with the low-cost prototype built

Design revolutions: IASDR 2019 Conference Proceedings. Volume 2: Living, Making, Value

In September 2019 Manchester School of Art at Manchester Metropolitan University was honoured to host the bi-annual conference of the International Association of Societies of Design Research (IASDR) under the unifying theme of DESIGN REVOLUTIONS. This was the first time the conference had been held in the UK. Through key research themes across nine conference tracks – Change, Learning, Living, Making, People, Technology, Thinking, Value and Voices – the conference opened up compelling, meaningful and radical dialogue of the role of design in addressing societal and organisational challenges. This Volume 2 includes papers from Living, Making and Value tracks of the conference

Factors Influencing Customer Satisfaction towards E-shopping in Malaysia

Online shopping or e-shopping has changed the world of business and quite a few people have decided to work with these features. What their primary concerns precisely and the responses from the globalisation are the competency of incorporation while doing their businesses. E-shopping has also increased substantially in Malaysia in recent years. The rapid increase in the e-commerce industry in Malaysia has created the demand to emphasize on how to increase customer satisfaction while operating in the e-retailing environment. It is very important that customers are satisfied with the website, or else, they would not return. Therefore, a crucial fact to look into is that companies must ensure that their customers are satisfied with their purchases that are really essential from the ecommerce’s point of view. With is in mind, this study aimed at investigating customer satisfaction towards e-shopping in Malaysia. A total of 400 questionnaires were distributed among students randomly selected from various public and private universities located within Klang valley area. Total 369 questionnaires were returned, out of which 341 questionnaires were found usable for further analysis. Finally, SEM was employed to test the hypotheses. This study found that customer satisfaction towards e-shopping in Malaysia is to a great extent influenced by ease of use, trust, design of the website, online security and e-service quality. Finally, recommendations and future study direction is provided. Keywords: E-shopping, Customer satisfaction, Trust, Online security, E-service quality, Malaysia