Julian Zapata

Mr. Julian Zapata

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 February 2025 in Computers
Verified
Journal Article
Open access
PDF file
JZJulian Zapata
Julian Zapata
RMRubén Machucho-Cadena
Rubén Machucho-Cadena
JLJOSE FIDENCIO FIDENCIO LOPEZ LUNA
JOSE FIDENCIO FIDENCIO LOPEZ LUNA
HHHIRAM HERRERA-RIVAS
HIRAM HERRERA-RIVAS
JHJorge-Arturo Hernandez-Almazan
Jorge-Arturo Hernandez-Almazan
This article presents the design and implementation of an API that delivers real-time promotional notifications to mobile devices based on their proximity to shopping centers, calculated using the Haversine formula. Developed in Laravel, the API determines whether a mobile device is within a 600 m radius of any registered shopping center, such as Soriana, GranD, and HEB, and sends the relevant promotional information. The system uses Petri nets to model asynchronous behavior, enabling efficient concurrency management between the mobile application and the API. This structure ensures optimized message delivery, preventing communication collisions and delays. The mobile application, developed in Kotlin, integrates geolocation services to capture and update the user’s location in real time. The results indicate an improvement in response time and proximity detection accuracy, highlighting the effectiveness of the Petri net model for systems requiring concurrent interaction. The combination of Laravel, Kotlin, and formal modeling with Petri nets proves to be an effective and scalable solution for proximity-based mobile applications.

18 December 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
JZJulian Zapata
Julian Zapata
RMRubén Machucho-Cadena
Rubén Machucho-Cadena
JLJOSE FIDENCIO FIDENCIO LOPEZ LUNA
JOSE FIDENCIO FIDENCIO LOPEZ LUNA
HHHIRAM HERRERA-RIVAS
HIRAM HERRERA-RIVAS
JHJorge-Arturo Hernandez-Almazan
Jorge-Arturo Hernandez-Almazan
This article presents the design and implementation of an API that delivers real-time promotional notifications to mobile devices based on their proximity to shopping centers, calculated using the Haversine formula. Developed in Laravel, the API determines whether a mobile device is within a 600-meter radius of any registered shopping center, such as Soriana, GranD, and HEB, and sends the relevant promotional information. The system uses Petri nets to model asynchronous behavior, enabling efficient concurrency management between the mobile application and the API. This structure ensures optimized message delivery, preventing communication collisions and delays. The mobile application, developed in Kotlin, integrates geolocation services to capture and update the user’s location in real time. The results indicate an improvement in response time and proximity detection accuracy, highlighting the effectiveness of the Petri net model for systems requiring concurrent interaction. The combination of Laravel, Kotlin, and formal modeling with Petri nets proves to be an effective and scalable solution for proximity-based mobile applications.