1,720,953 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Integrated System for Humidity Monitoring and Concrete Strength Estimation Using Artificial Intelligence
DigitalEste trabajo desarrolla un sistema integrado para el monitoreo de humedad y estimación de resistencia del concreto desde la perspectiva de la ingeniería de software, aplicando metodologías ágiles para la creación de sistemas ciberfísicos complejos que integran hardware y software. La investigación aborda la brecha tecnológica existente en la construcción mediante el diseño e implementación de una arquitectura distribuida basada en microservicios que combina dispositivos IoT, plataformas web y algoritmos de inteligencia artificial.
El proyecto implementa una metodología ágil adaptada a entornos IoT que facilita el desarrollo iterativo y colaborativo, incorporando principios de Rapid Prototyping y Model-Driven Development. La arquitectura del sistema utiliza el microcontrolador ESP32 programado con MicroPython para la adquisición y procesamiento de datos de sensores, mientras que el backend se desarrolla con el framework web Django, implementando el patrón MTV (Model-Template-View) para garantizar escalabilidad y mantenimiento.
La solución integra edge computan para análisis predictivo en tiempo real, reduciendo la latencia hasta un 45% y mejorando el ancho de banda en 30%. El sistema incluye redes neuronales profundas desarrolladas con TensorFlow y Keras para la estimación de resistencia del concreto, alcanzando precisiones del 96.4% mediante algoritmos de machine learning optimizados.
Desde la ingeniería de software, el proyecto aporta patrones de diseño reutilizables para sistemas IoT en construcción, implementando arquitecturas modulares que facilitan la evolución y escalabilidad. La plataforma web desarrollada incorpora interfaces responsivas con Tailwind CSS, autenticación segura con Django Allauth, y APIs REST para la comunicación entre componentes distribuidos.
Este trabajo contribuye significativamente al campo de la construcción inteligente, demostrando cómo la ingeniería de software puede transformar procesos constructivos tradicionales mediante soluciones digitales robustas, escalables y confiables que integran IoT, inteligencia artificial y análisis predictivo.This work develops an integrated system for humidity monitoring and concrete strength estimation from the perspective of software engineering, applying agile methodologies for the creation of complex cyber-physical systems that integrate hardware and software. The research addresses the existing technological gap in construction through the design and implementation of a distributed architecture based on microservices that combines IoT devices, web platforms, and artificial intelligence algorithms.
The project implements an agile methodology adapted to IoT environments that facilitates iterative and collaborative development, incorporating principles of Rapid Prototyping and Model-Driven Development. The system architecture uses the ESP32 microcontroller programmed with MicroPython for sensor data acquisition and processing, while the backend is developed with the Django web framework, implementing the MTV (Model-Template-View) pattern to ensure scalability and maintainability.
The solution integrates edge computing for real-time predictive analysis, reducing latency by up to 45% and improving bandwidth by 30%. The system includes deep neural networks developed with TensorFlow and Keras for concrete strength estimation, achieving accuracies of 96.4% through optimized machine learning algorithms.
From the software engineering perspective, the project contributes reusable design patterns for IoT systems in construction, implementing modular architectures that facilitate evolution and scalability. The developed web platform incorporates responsive interfaces with Tailwind CSS, secure authentication with Django Allauth, and REST APIs for communication between distributed components.
This work significantly contributes to the field of smart construction, demonstrating how software engineering can transform traditional construction processes through robust, scalable, and reliable digital solutions integrating IoT, artificial intelligence, and predictive analytics.Introducción 22
Planteamiento del Problema 23
Justificación 24
Objetivos 26
Objetivo General 26
Objetivos Específicos 26
Estado del Arte 27
Antecedentes Internacionales 27
Antecedentes Nacionales 28
Marco Referencial 30
Marco Teórico 30
Humedad en el Concreto 30
Sensores de Humedad Para Aplicaciones en Concreto 31
Plataforma ESP32 y Arquitectura IoT 31
Metodología Ágiles Para Desarrollo de Sistemas IoT 32
Edge Computing y Análisis en Tiempo Real 33
Marco Conceptual 34
MicroPython 34
PHP (Hypertext Preprocessor) 34
MySQL 35
Servidor Web 36
HTTP (Hypertext Transfer Protocol) 36
HTML (HyperText Markup Language) 37
CSS (Cascading Style Sheets) 38
Tailwind 38
Django 38
Django Allauth 39
Python 40
Modelo MTV (Model Template View) 40
Protocolo MQTT 41
ESPTOOL 42
EASYEDA 42
Redes Neuronales 43
TensorFlow 43
Scikit Learn 44
Redes Neuronales Profundas 45
Desarrollo Metodológico 46
Fases del Proyecto 46
Fase 1: Recopilación de Requisitos del Dispositivo. 47
Actividad 1: Análisis de Requerimientos del Sistema. 47
Actividad 2: Selección del Microcontrolador ESP32. 47
Actividad 3: Selección del Sensor de Humedad Higrometro. 49
Actividad 4: Configuración y Pruebas de Integración 50
Actividad 5: Configuración del Entorno de Desarrollo con MicroPython. 52
Actividad 1: Configuración de la Conexión Wi-Fi. 54
Actividad 2: Guardado de Datos. 55
Actividad 3: Diseño del Código de Funcionamiento ESP32. 56
Estructura del Código. 56
Funcionalidad Detallada. 57
Validación y Pruebas. 58
Actividad 4: Creación de Esquemáticos en EasyEDA. 61
Componentes y Conexiones. 63
Actividad 5: Creación de PCB en EasyEDA. 63
Actividad 6: Modelo 3D y Fabricación de la PCB. 65
Fase 3: Creación del Software 67
Actividad 1: Instalación del Proyecto y Dependencias. 67
Creación del Entorno Virtual. 67
Instalación de Django y Dependencias Principales. 67
Creación de la Estructura del Proyecto. 68
Actividad 2: Creación de Super-Usuario. 70
Actividad 3: Creación de Login e Interfaz. 72
Actividad 4: Implementación de CRUD Para Usuarios Utilizando Django Auth. 77
Actividad 5: Vinculación del Dispositivo ESP32 al Software. 79
Fase 4: Desarrollo del Modelo de Predicción de Resistencia de Concreto 81
Actividad 1: Generación de Datos Sintéticos Realistas. 81
Actividad 2: Análisis Exploratorio del Dataset. 82
Actividad 3: Preprocesamiento de Datos. 86
Actividad 4: Construcción de la Red Neuronal. 87
Actividad 5: Entrenamiento del Modelo (Uso de Adam, Callbacks cib EarlyStopping). 90
Actividad 6: Evaluación del Modelo (Métricas MSE, MAE, R^2, Gráficas). 91
Actividad 7: Exportación del Modelo (Keras .h5). 95
Actividad 8: Bachead Funcional en Django Para Predicción con el Concreto. 95
Actividad 9: Formulario Frontend con Tailwind CSS Para la Entrada de Datos. 97
Actividad 10: Validación Integral. 98
Conclusiones 99
Consideraciones Finales 100
Referencias Bibliográficas 101
Apéndices 106PregradoIngeniero(a) de Softwar
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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