Persona:
Castillo Cara, José Manuel

Foto de perfil
Dirección de correo electrónico
ORCID
0000-0002-2990-7090
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Castillo Cara
Nombre de pila
José Manuel
Nombre

Filtros

2016 - 20182
Restablecer filtros

Ajustes

Autor: Arias Antúnez, Enrique × search.filters.applied.f.itemDepartamento: Inteligencia Artificial ×

Resultados de la búsqueda

Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Ray: Smart indoor/outdoor routes for the blind using Bluetooth 4.0 BLE
    (Elsevier, 2016) Huaranga Junco, Edgar; Mondragón Ruiz, Giovanny; Salazar, Andree; Orozco Barbosa, Luis; Arias Antúnez, Enrique; Castillo Cara, José Manuel
    This work describes the implementation of a cost-effective assistive mobile application aiming to improve the quality of life of visually impaired people. Taking into account the architectural adaptations being done in many cities around the world, such as tactile sidewalks, the mobile application provides support to guide the visually impaired through outdoor/indoor spaces making use of various navigation technologies. The actual development of the application presented herein has been done taking into account that the safety of the end user will very much depend on the robustness, accuracy and timeliness of the information to be provided. Furthermore, we have based our development on open source code: a must for applications to be adapted to the cultural and social characteristics of urban areas across the world.
  • Miniatura
    Publicación
    FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms
    (Hindawi, 2018-04-12) Huaranga Junco, Edgar; Quispe Montesinos, Milner; Orozco Barbosa, Luis; Arias Antúnez, Enrique; Castillo Cara, José Manuel
    Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms