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1
tesis de grado
Por lo general, en un hospital, los datos generados por cada departamento o sección se tratan de forma aislada, creyendo que no existe una relación entre ellos. Se cree que si bien un departamento tiene una gran demanda, no puede influir en que otro pueda tener la misma demanda o no tener ninguna. En este documento, cuestionamos este enfoque al considerar la información de los departamentos como componentes de un gran sistema en el hospital. Por lo tanto, presentamos un algoritmo para predecir las citas de los departamentos cuando los datos no están disponibles utilizando datos de otros departamentos. Este algoritmo usa un modelo basado en regresión lineal múltiple usando una matriz de correlación para medir la relación entre los departamentos con diferentes ventanas de tiempo. Después de ejecutar nuestro algoritmo para diferentes ventanas de tiempo y departamentos, descubrimos ...
2
tesis de maestría
Publicado 2016
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El estudio de la confianza entre los usuarios de plataformas virtuales o de redes sociales en los últimos años ha ganado interés, ya que ayuda a dar fiabilidad en la información que se brinda en dichos medios. Una de las tareas que ha sido más investigada es la predicción de la confianza, más conocida en la literatura como Trust Prediction. Para su estudio se considera tanto el mecanismo de Trust Propagation (propagación de la confianza) y el efecto de la hemofilia. En la presente tesis se juntó estos dos conceptos, y se abordó el problema desde un enfoque probabilística, haciendo uso de los Factor Graphs y el algoritmo Belief Propagation. Se estudiaron 3 conjuntos de datos de plataformas de revisiones de productos (Epinions, Ciao y FilmTrust), las cuales contienen información de las calificaciones dadas por las personas a los productos, lo cual nos fue útil para extraer la ...
3
tesis doctoral
Publicado 2023
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Accurate produced PV energy estimation is critical to business decisions under long-term investments in PV on a utility scale. PV energy yield is affected by different sites' specific conditions. The variability of the spectral distribution after temperature and irradiation is a site condition that impacts energy yield estimates. Evaluating the impact of the spectral irradiance distribution on the PV performance generally requires accurate information about the PV device's spectral response and the site’s measured spectra. Detailed spectral and device information may not always be available. This study analyzes the interrelations between device-dependent and device-independent energetic spectral indicators with spectral data from nine sites with different climates and latitudes, aiming to relax the requirement for detailed device and spectral information. First, an apparent correlation...
4
tesis doctoral
Publicado 2023
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Accurate produced PV energy estimation is critical to business decisions under long-term investments in PV on a utility scale. PV energy yield is affected by different sites' specific conditions. The variability of the spectral distribution after temperature and irradiation is a site condition that impacts energy yield estimates. Evaluating the impact of the spectral irradiance distribution on the PV performance generally requires accurate information about the PV device's spectral response and the site’s measured spectra. Detailed spectral and device information may not always be available. This study analyzes the interrelations between device-dependent and device-independent energetic spectral indicators with spectral data from nine sites with different climates and latitudes, aiming to relax the requirement for detailed device and spectral information. First, an apparent correlation...
5
tesis de grado
Nowadays, the challenges that covid-19 has generated to the financial community that operates within the stock market has generated a greater uncertainty in the profitability and consequently has made this practice more difficult. To overcome that problem the present study aims to develop a model that facilitates this work; this model uses the SVR regression algorithm and through technical indicators provide us with the possible trend that the stock may take in the future and thus suggest that the investor in question buys, sells or holds the stock in view of that result. As a result of the project, it was proposed to use 7 technical indicators RSI, MACD, ROC, WMA, OBV, the Williams indicator and the stochastic oscillator that determine the current market condition. After validating the model, it was concluded that there are different Peruvian companies that have been able to overcome th...
6
tesis de maestría
Publicado 2016
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El estudio de la confianza entre los usuarios de plataformas virtuales o de redes sociales en los últimos años ha ganado interés, ya que ayuda a dar fiabilidad en la información que se brinda en dichos medios. Una de las tareas que ha sido más investigada es la predicción de la confianza, más conocida en la literatura como Trust Prediction. Para su estudio se considera tanto el mecanismo de Trust Propagation (propagación de la confianza) y el efecto de la hemofilia. En la presente tesis se juntó estos dos conceptos, y se abordó el problema desde un enfoque probabilística, haciendo uso de los Factor Graphs y el algoritmo Belief Propagation. Se estudiaron 3 conjuntos de datos de plataformas de revisiones de productos (Epinions, Ciao y FilmTrust), las cuales contienen información de las calificaciones dadas por las personas a los productos, lo cual nos fue útil para extraer la ...
7
artículo
Publicado 2023
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Early mathematical competencies have a great impact on academic performance and on the development of more complex mathematical skills, especially in early education. Several authors have highlighted the importance of working memory and inhibition in the development of these mathematical skills; however, there is no agreement regarding the explanatory capacity of these executive domains with respect to differentiated performance in mathematics. The aim of this research was to evaluate the predictive capacity of verbal and visuospatial working memory and of behavioral and cognitive inhibition in mathematical competencies of relational logic and numerical type in 106 Chilean children of early education between 4 and 6 years old, who were evaluated with four executive tasks and an early mathematical assessment test. For data analysis, correlations and multiple linear regressions were perfor...
8
artículo
Publicado 2022
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This article highlights the impact and criticism of the theoretical assumptions of prediction in the EGDE models, in addition to its scope and limits in terms of economic policy carried out by central banks. We have chosen various topics to explain predictive phenomena in social sciences and mainly in economics, based on econophysics, econometrics and macroeconometrics applied to EGDE models, but they revolve around the mind-brain problem and the “theory of cognition of predictive coding”. We conceptualize their contributions through epistemological problems and relate them to their application to EGDE models. Thus, we intend to emphasize the task of our criticism to open the field of analysis of prediction theories towards complex systems in social sciences and other epistemic debates. Therefore, the thesis of limitations in prediction is defended under the concept of the brain as a...
9
tesis doctoral
Publicado 2023
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State-of-the-art control and robotics challenges have long been tackled using model-based control methods like model predictive control (MPC) and reinforcement learning (RL). These methods excel in complex dynamic domains, such as manipulation tasks, but struggle with real-world issues like wear-and-tear, uncalibrated sensors, and misspecifications. These factors often perturb system dynamics, leading to the 'reality gap' problem when robots transition from simulations to real-world environments. This work aims to bridge this gap by combining RL and control in a learning framework that adapts MPC to robot decisions, optimizing performance despite uncertainties in dynamics model parameters. This thesis presents three key contributions to robotics control. The first is a novel reward-based framework for refining stochastic Model Predictive Control (MPC). It utilizes Bayesian Optimization (...
10
tesis de grado
Publicado 2025
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La presente tesis propone la implementación del algoritmo Practical Non-linear Model Predictive Control (PNMPC) para controlar el lazo de nivel del Módulo de laboratorio FESTO, el cual se compone de un sistema de dos tanques en cascada conectados por un circuito cerrado donde fluye agua. El PNMPC es un algoritmo de control que soluciona el problema de la no linealidad de los sistemas de nivel sin comprometer el rendimiento del proceso control. Para llevar a efecto esta estrategia de control se ha escrito un código en MATLAB que envía y recibe datos de la planta mediante la arquitectura de comunicación OPC UA a un PLC, que se encarga de operar los componentes del Módulo FESTO. También, se aplicó técnicas de control, usualmente, vistas en los cursos de automatización tales como el controlador PI y el controlador Generalize Predictive Control (GPC) para comparar su rendimiento con...
11
tesis de maestría
Publicado 2017
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The aim of this Master's Thesis was to develop a naturally controllable BCI that can predict motion trajectories from the imagination of motor execution. The approach to reach this aim was to nd a correlation between movement and brain data, which can subsequently be used for the prediction of movement trajectories only by brain signals. To nd this correlation, an experiment was carried out, in which a participant had to do triggered movements with its right arm to four di erent targets. During the execution of the movements, the kinematic and EEG data of the participant were recorded. After a preprocessing stage, the velocity of the kinematic data in x and y directions, and the band power of the EEG data in di erent frequency ranges were calculated and used as features for the calculation of the correlation by a multiple linear regression. When applying the resulting regression paramete...
12
tesis de maestría
Publicado 2017
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The aim of this Master's Thesis was to develop a naturally controllable BCI that can predict motion trajectories from the imagination of motor execution. The approach to reach this aim was to nd a correlation between movement and brain data, which can subsequently be used for the prediction of movement trajectories only by brain signals. To nd this correlation, an experiment was carried out, in which a participant had to do triggered movements with its right arm to four di erent targets. During the execution of the movements, the kinematic and EEG data of the participant were recorded. After a preprocessing stage, the velocity of the kinematic data in x and y directions, and the band power of the EEG data in di erent frequency ranges were calculated and used as features for the calculation of the correlation by a multiple linear regression. When applying the resulting regression paramete...
13
tesis de grado
Publicado 2018
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El presente estudio se realizó en el Centro Odontológico Zahnarzt Praxis del distrito de Pueblo Libre de enero a agosto del año 2018. Objetivo: Identificar los factores predictivos más frecuentes para determinar la dificultad en cirugía de terceras molares inferiores no erupcionadas.
14
artículo
Publicado 2018
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Abstract: This article summarizes the main contributions of the thesis with the title “K-Nearest neighbor in a classification and prediction application in the Judicial Power of Peru". In this thesis a model is constructed using the method of the nearest k-neighbors that allows classifying and predicting the Superior Courts of Justice of Peru. Through a descriptive data analysis, the Lima Court is excluded from the study. With the remaining 30 Superior Courts, a three-group model based on unsupervised classification is generated, for which the Euclidean distance matrix that originates the classification tree is deduced. The classification model of three nearest neighbors is constructed, with partition and random cross-validation folds, which indicates; the predictor space model, the quadratic error or error index that validates the op-timal value of k = 3 neighbors, the model error and...
15
tesis de grado
Publicado 2021
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The predictive philosophy contributes to improving productivity, reducing system failures and reducing unplanned downtime in a non-invasive way to the machine, for which the test bench is based on the German standard VDI2221, using mathematical models to select the materials and the design of the final prototype. The development of the project consists of applying vibration analysis, thermographic analysis and the quality of energy in which each measurement and the correlation that exist between them is shown; in addition, the inverse Fourier transform was used to demonstrate the amplitude and frequency ranges according to the theoretical equation proposed in the Matlab program, it can also be seen the higher order vibrations of 22.1 is located at the same critical point of the SP7 measurement with a temperature of 34.6 ° C and an emissivity of 0.95, likewise the Power quality measureme...
16
tesis doctoral
Publicado 2009
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Esta investigación tuvo como objetivo predecir la distribución actual de especies y bosques de Polylepis, la distribución durante el Último Máximo Glacial (LGM) y los cambios en la distribución de especies resultantes del doble de CO2 atmosférico. La distribución actual, LGM y futura como resultado del cambio climático se pronosticaron para 21 especies de Polylepis utilizando el algoritmo Maxent sobre América del Sur. Se utilizaron varias capas ambientales, incluidos los datos de detección remota climática, óptica y de microondas, para escenarios climáticos particulares. Se pronostica que la contracción del rango se producirá para la mayoría de las especies, desde el LGM hasta el clima futuro.
17
tesis de grado
Publicado 2024
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Cryptocurrencies are a growing market that has attracted the attention of many investors in recent years. While cryptocurrencies offer a secure and decentralized form of payment, this market is highly volatile. Factors influencing price changes include the balance of supply and demand, its utility, trading indicators, and market confidence. The present research aims to predict the price of the Cardano cryptocurrency by using machine learning techniques, specifically SVM, LSTM and BiLSTM models. In addition to accounting for financial indices, Twitter activity was used as a data source to measure market sentiment. The study analyzes various predictive horizons, including time ranges of 1 day, seven days, 14 days, 21 days and 30 days. The results obtained were validated with different performance indicators, and it was determined that the model predicts Cardano prices one month ahead with ...
18
tesis doctoral
Publicado 2020
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Descargue el texto completo en el repositorio institucional de la Universidade Estadual de Campinas: https://hdl.handle.net/20.500.12733/1641647
19
tesis de maestría
Publicado 2011
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La tuberculosis es una enfermedad infecciosa prominente causada por la bacteria Mycobacterium tuberculosis. El principal obstáculo en el tratamiento de la tuberculosis es la aparición rápida de nuevas cepas bacterianas resistentes a múltiples fármacos. La resistencia a la pirazinamida, un fármaco de primera línea muy importante en el tratamiento de la tuberculosis, está creciendo de manera alarmante. Aunque se conoce la estructura de la proteína que interactúa con la pirazinamida, la pirazinamidasa, los detalles de la unión del sustrato y el mecanismo catalítico se entienden parcialmente. Para explicar el mecanismo molecular de resistencia a la pirazinamida, se realizaron estudios de modelamiento molecular.
20
tesis de grado
Publicado 2018
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Este trabajo de investigación desarrolla un modelo predictivo automatizado para la planificación de la producción de arroz en la región San Martín, para ello, se ha analizado la información histórica de la producción de arroz en la región San Martín, desde el año 1990 hasta el año 2013. Se ha analizado técnicas de regresión lineal y polinomial, tomando este último como modelo para predecir la producción de arroz hasta en un escenario futuro de 5 años. Este resulta muy eficiente porque considera las fluctuaciones de la producción arrocera en periodos de largo plazo. El objetivo de esta investigación fue desarrollar un modelo predictivo automatizado para planificar mejor la producción de arroz en la región San Martín, ya que el margen de error en la predicción de la producción de arroz es considerado como demasiado impreciso e inexacto por los colaboradores de nivel...
