scholarly journals Controlling Mini Exhaust Fan through Android-Based Smartphone for IoT-Based Smart Home System

TEM Journal ◽  
2021 ◽  
pp. 1301-1306
Author(s):  
Syifaul Fuada ◽  
Maulana Yusuf Fathany ◽  
Trio Adiono ◽  
Khilda Afifah
Keyword(s):  
Home Environment ◽  
Pulse Width ◽  
Smart Home ◽  
Pulse Width Modulation ◽  
Android Application ◽  
Idle Mode ◽  
Processing Mode ◽  
Mesh Topology ◽  
Smart Home Environment ◽  
To Receive

In this work, we present a control system for a mini electrical fan. The aim of this work is to design a controller prototype for an electrical fan within the smart home system. The system consists of an STM32L100 microcontroller for controlling the electrical fan using pulse-width modulation (PWM), TIP 102 BJT transistor for ‘off,’ and ‘on’ control of the fan, and 1N4007 fly-back diode. The PWM is generated by the STM32L100 microcontroller to control the Fan’s speed softly (25%, 50%, 75%, and 0% - 100% of speed). In addition, the system is equipped with a ZigBee module to support wireless communication with the host, which is required to receive and process commands from the Android application used for the user interface. Moreover, with the Zigbee module, the fan device enables be integrated wirelessly with other end devices in a smart home environment through a network (e.g., Mesh topology). Based on the testing performed, the system can work as intended, it can be controlled easily using Android smartphone and its speed, with the currents of 43.1 mA (idle mode) and 145.1 mA (processing mode) powered by 12 VDC.

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Home Environment ◽  
Smart Home ◽  
Electrical Energy ◽  
Smart Home Environment

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

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