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Task-Based Evaluation of Sentiment Visualization TechniquesBouchama, Samir January 2021 (has links)
Sentiment visualization techniques are information visualization approaches that focus on representing the results of sentiment analysis and opinion mining methods. Sentiment visualization techniques have been becoming more and more popular in the past few years, as demonstrated by recent surveys. Many techniques exist, and a lot of researchers and practitioners design their own. But the question of usability of these various techniques still remains generally unsolved, as the existing research typically addresses individual design alternatives for a particular technique implementation only. Multiple surveys and evaluations exist that argue for the importance of investigating the usability of such techniques further. This work focuses on evaluating the effectiveness, and efficiency of common visual representations for low-level visualization tasks in the context of sentiment visualization. It shows what previous work has already been done by other researchers and discusses the current state of the art. It further describes a task-based user study for various tasks, carried out as an online survey and taking the task completion time and error rate into account for most questions. This study is used for evaluating sentiment visualization techniques on their usability with regard to several sentiment and emotion datasets. This study shows that each visual representation and visual variable has its own weaknesses and strengths with respect to different tasks, which can be used as guidelines for future work in this area.
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The Fixed v. Variable Sampling Interval Shewhart X-Bar Control Chart in the Presence of Positively Autocorrelated DataHarvey, Martha M. (Martha Mattern) 05 1900 (has links)
This study uses simulation to examine differences between fixed sampling interval (FSI) and variable sampling interval (VSI) Shewhart X-bar control charts for processes that produce positively autocorrelated data. The influence of sample size (1 and 5), autocorrelation parameter, shift in process mean, and length of time between samples is investigated by comparing average time (ATS) and average number of samples (ANSS) to produce an out of control signal for FSI and VSI Shewhart X-bar charts. These comparisons are conducted in two ways: control chart limits pre-set at ±3σ_x / √n and limits computed from the sampling process. Proper interpretation of the Shewhart X-bar chart requires the assumption that observations are statistically independent; however, process data are often autocorrelated over time. Results of this study indicate that increasing the time between samples decreases the effect of positive autocorrelation between samples. Thus, with sufficient time between samples the assumption of independence is essentially not violated. Samples of size 5 produce a faster signal than samples of size 1 with both the FSI and VSI Shewhart X-bar chart when positive autocorrelation is present. However, samples of size 5 require the same time when the data are independent, indicating that this effect is a result of autocorrelation. This research determined that the VSI Shewhart X-bar chart signals increasingly faster than the corresponding FSI chart as the shift in the process mean increases. If the process is likely to exhibit a large shift in the mean, then the VSI technique is recommended. But the faster signaling time of the VSI chart is undesirable when the process is operating on target. However, if the control limits are estimated from process samples, results show that when the process is in control the ARL for the FSI and the ANSS for the VSI are approximately the same, and exceed the expected value when the limits are fixed.
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A utilizaÃÃo de objetos de aprendizagem para a compreensÃo e construÃÃo de grÃficos estatÃsticos. / Use of learning objects for understanding and construction of chartsJuscileide Braga de Castro 03 October 2012 (has links)
CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior / O tratamento da informaÃÃo à importante para a formaÃÃo do cidadÃo, pois estamos cercados de dados e fatos que precisam ser compreendidos. Contudo, avaliaÃÃes recentes do Sistema de AvaliaÃÃo da EducaÃÃo BÃsica (SAEB) e do Instituto Nacional de Alfabetismo Funcional (INAF) indicam as dificuldades de estudantes e atà de adultos das diversas regiÃes do paÃs, apresentam no entendimento da representaÃÃo de dados em grÃficos e em tabelas e em compreender os conceitos matemÃticos envolvidos. Pesquisas revelam que o estudo de grÃficos atravÃs de recursos tecnolÃgicos como computador e tecnologias digitais, favorece o desenvolvimento da aprendizagem de conceitos estatÃsticos, pois, na maioria das vezes, auxiliam a visualizaÃÃo e a exploraÃÃo de um conjunto de atividades, propiciando novas formas de pensar e agir. Dessa forma, realizou-se uma intervenÃÃo com um conjunto de atividades baseada no uso de objetos de aprendizagem (OA), a fim de verificar como o uso de tecnologias digitais contribui na aprendizagem de conceitos envolvidos no tratamento da informaÃÃo como construÃÃo e interpretaÃÃo de grÃficos de barras e de setores. A pesquisa foi realizada em uma escola pÃblica municipal de Fortaleza participante do Projeto Um Computador por Aluno - UCA, com duas turmas do 5 ano do Ensino Fundamental, com 26 alunos em cada uma. As turmas foram divididas em: Grupo Controle (GC) e Grupo Experimental (GE). A investigaÃÃo foi dividida em trÃs etapas: prÃ-teste, intervenÃÃo e pÃs-teste. Todos os alunos participaram do prÃ-teste e do pÃs-teste, aplicados individualmente e sem uso do computador. Todavia, ao GC nÃo foi ministrado nenhuma instruÃÃo formal alÃm da recebida em sala de aula. O GE foi submetido à intervenÃÃo que contemplou: aspectos matemÃticos de grÃficos e tabela, situaÃÃes-problema com classificaÃÃo e proporcionalidade e atividades de investigaÃÃo. Os dados foram analisados de modo a conhecer e compreender o desempenho dos alunos antes e apÃs as atividades, a evoluÃÃo de estratÃgias e o tratamento da informaÃÃo. Os estudantes que foram submetidos à intervenÃÃo apresentaram, estatisticamente, um desempenho superior quando comparado aos estudantes do GC. Constatou-se a evoluÃÃo das estratÃgias das crianÃas do GE, a partir de atividades desenvolvidas durante pesquisa. Essas atividades proporcionaram a integraÃÃo das diferentes tecnologias existentes na escola ao currÃculo escolar (laptop, tecnologias digitais e analÃgicas). Assim, o uso de tecnologias digitais permitiu a vivÃncia de experiÃncias didÃticas de tratamento da informaÃÃo das quais possibilitou: visualizar e simular diferentes situaÃÃes (representaÃÃo de grÃficos diferentes, de coleta e anÃlise de dados); tratar a informaÃÃo; trabalhar com situaÃÃes reais e com contextos investigativos e explorar os dados produzidos. Logo, os resultados deste estudo contribuem para melhor compreender a aprendizagem de grÃficos, assim como para o desenvolvimento de novos recursos e atividades. / The information processing is important for the citizen formation, since we are surrounded by data and facts that need to be understood. However, recent evaluations such as SAEB and INAF indicated the difficulties that children and adults from several Brazilian regions have been in the understanding of the processes related to data representation in graphs and tables, as well as understand involved mathematical concepts. Research have showed that the study of graphs by using of technological devices such as computer and another digital technologies, favoring the development of statistical concepts learning since these strategies help the visualization and exploration of many activities, providing new ways of thinking and act. Thus, the current study investigated as a didactic sequence, using learning objects (LO), could help in the understanding of concepts related to information processing as the construction and interpretation of bar and sectors graphs. The work was conducted in a Brazilian public school located in Fortaleza city using two classes of 5th grade of elementary school, with 26 students each ones. The school classes were divided in control group (CG) and experimental group (EG) and all students were previously evaluated through a pre-test. Posteriorly an intervention using a didactic sequence including mathematical aspects of graphs and tables, problem situations with classification and proportionality and research activities was performed only with EG. The GC was not exposed to any formal education beyond the classroom received. Thereafter a post test was applied to both groups (CG and EG). The data were analyzed by student performance before and after the performed activities taking into account the evolution of strategies and information processing. Was observed a improviment in the strategies used by children for GE group after intervention. These activities give the integration of different technologies employed in school curriculum (laptop and digital and analogic technologies). Thus, the use of digital technologies provided didatic experiences in processing information by students as a to visualize and simulate different situations; process information; work with real situations, with investigative contexts and explore the produced data. Therefore, the results of current study contribute to better understand the graphs learning as well as for further development of new resources and activities.
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A THEORETICAL ADAPTIVE AUTONOMY MODEL:REAL-TIME PHYSIOLOGICAL ASSESSMENT OF COGNITIVE WORKLOADEvans, Dakota C. January 2014 (has links)
No description available.
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Streamlining Certification Management with Automation and Certification Retrieval : System development using ABP Framework, Angular, and MongoDB / Effektivisering av certifikathantering med automatisering och certifikathämtning : Systemutveckling med ABP Framework, Angular och MongoDBHassan, Nour Al Dine January 2024 (has links)
This thesis examines the certification management challenge faced by Integrity360. The decentralized approach, characterized by manual processes and disparate data sources, leads to inefficient tracking of certification status and study progress. The main objective of this project was to construct a system that automates data retrieval, ensures a complete audit, and increases security and privacy. Leveraging the ASP.NET Boilerplate (ABP) framework, Angular, and MongoDB, an efficient and scalable system was designed, developed, and built based on DDD (domain-driven design) principles for a modular and maintainable architecture. The implemented system automates data retrieval from the Credly API, tracks exam information, manages exam vouchers, and implements a credible authentication system with role-based access control. With the time limitations behind the full-scale implementation of all the planned features, such as a dashboard with aggregated charts and automatic report generation, the platform significantly increases the efficiency and precision of employee certification management. Future work will include these advanced functionalities and integrations with external platforms to improve the system and increase its impact on operations in Integrity360.
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