Proposal for the Generation of Profiles Using a Synthetic Database

Julio Andres Viscaino Quito; Luis Javier Serpa Andrade

doi:10.54941/ahfe1001462

Proposal for the Generation of Profiles Using a Synthetic Database

Título traducido de la contribución: Propuesta de Generación de Perfiles Utilizando una Base de Datos Sintética

Julio Andres Viscaino Quito, Luis Javier Serpa Andrade

Producción científica: Contribución a una conferencia › Documento

Resumen

En este artículo se propone un sistema de replicación y sincronización de datos en dispositivos móviles que se gestiona offline, permitiendo la recogida de datos en lugares remotos o privados de conexión a internet. En este proceso se presentaron falencias en la convergencia y estabilidad de los datos, para lo cual se utiliza un procedimiento de sincronización (servicios web) para asistirlo. Como resultado se obtuvo que la sincronización entre una base de datos alojada en la nube, una base de datos alojada localmente en el dispositivo móvil, la compatibilidad entre diferentes lenguajes de programación como Django de Python como servidor, el despliegue de Web Services y C# como cliente en el consumo de los servicios de sincronización es un éxito, realizando una sincronización donde no se pierde la integridad de los datos, habilitando la conexión de los dispositivos en modo offline, realizando las actividades correspondientes, al momento de tener conexión a internet para cargar los datos y mantenerlos sincronizados.

Título traducido de la contribución	Propuesta de Generación de Perfiles Utilizando una Base de Datos Sintética
Idioma original	Inglés estadounidense
DOI	https://doi.org/10.54941/ahfe1001462
Estado	Publicada - 24 jul. 2022
Evento	AHFE 2022 Conference on Applied Human Factors and Ergonomics International - US Duración: 24 jul. 2022 → 28 jul. 2022 https://2022.ahfe.org/

Conferencia

Conferencia	AHFE 2022 Conference on Applied Human Factors and Ergonomics International
Período	24/07/22 → 28/07/22
Dirección de internet	https://2022.ahfe.org/

Palabras clave

Models
Constraints
Filter
Artificial intelligence
Learning
Data

Areas de Conocimiento del CACES

417A Electrónica, automatización y sonido

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10.54941/ahfe1001462

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title = "Proposal for the Generation of Profiles Using a Synthetic Database",

abstract = "This article proposes a system for data replication and synchronization in mobile devices which is managed offline, allowing data collection in remote locations or deprived of internet connection. In this process there were shortcomings in the convergence and stability of the data, for which a synchronization procedure (web services) is used to assist it. As a result it was obtained that the synchronization between a database hosted in the cloud, a database hosted locally on the mobile device, the compatibility between different programming languages such as Django of Python as server, the deployment of Web Services and C# as client in the consumption of synchronization services is a success, carrying out a synchronization where the integrity of the data is not lost, enabling the connection of the devices in offline mode, performing the corresponding activities, to the time of having an internet connection to upload the data and keep them synchronized.",

keywords = "Models, Constraints, Filter, Artificial intelligence, Learning, Data, Models, Constraints, Filter, Artificial intelligence, Learning, Data",

author = "{Viscaino Quito}, {Julio Andres} and {Serpa Andrade}, {Luis Javier}",

year = "2022",

month = jul,

day = "24",

doi = "10.54941/ahfe1001462",

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AU - Serpa Andrade, Luis Javier

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N2 - This article proposes a system for data replication and synchronization in mobile devices which is managed offline, allowing data collection in remote locations or deprived of internet connection. In this process there were shortcomings in the convergence and stability of the data, for which a synchronization procedure (web services) is used to assist it. As a result it was obtained that the synchronization between a database hosted in the cloud, a database hosted locally on the mobile device, the compatibility between different programming languages such as Django of Python as server, the deployment of Web Services and C# as client in the consumption of synchronization services is a success, carrying out a synchronization where the integrity of the data is not lost, enabling the connection of the devices in offline mode, performing the corresponding activities, to the time of having an internet connection to upload the data and keep them synchronized.

AB - This article proposes a system for data replication and synchronization in mobile devices which is managed offline, allowing data collection in remote locations or deprived of internet connection. In this process there were shortcomings in the convergence and stability of the data, for which a synchronization procedure (web services) is used to assist it. As a result it was obtained that the synchronization between a database hosted in the cloud, a database hosted locally on the mobile device, the compatibility between different programming languages such as Django of Python as server, the deployment of Web Services and C# as client in the consumption of synchronization services is a success, carrying out a synchronization where the integrity of the data is not lost, enabling the connection of the devices in offline mode, performing the corresponding activities, to the time of having an internet connection to upload the data and keep them synchronized.

KW - Models

KW - Constraints

KW - Filter

KW - Artificial intelligence

KW - Learning

KW - Data

KW - Models

KW - Constraints

KW - Filter

KW - Artificial intelligence

KW - Learning

KW - Data

UR - https://openaccess.cms-conferences.org/publications/book/978-1-958651-04-9/article/978-1-958651-04-9_22

U2 - 10.54941/ahfe1001462

DO - 10.54941/ahfe1001462

M3 - Paper

T2 - AHFE 2022 Conference on Applied Human Factors and Ergonomics International

Y2 - 24 July 2022 through 28 July 2022

ER -

Proposal for the Generation of Profiles Using a Synthetic Database

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