scholarly journals A MAS integrated into Home Automation system, for the resolution of power management problem in smart homes

2011 ◽  
Vol 6 ◽  
pp. 786-794 ◽  
Author(s):  
Hussein Joumaa ◽  
St́ephane Ploix ◽  
Shadi Abras ◽  
Gŕegory De Oliveira
Keyword(s):  
Power Management ◽  
Smart Homes ◽  
Automation System ◽  
Home Automation ◽  
Management Problem ◽  
Home Automation System

A Multi-agent Home Automation System for Power Management

2008 ◽  
pp. 59-68 ◽  
Author(s):  
Shadi Abras ◽  
Stéphane Ploix ◽  
Sylvie Pesty ◽  
Mireille Jacomino
Keyword(s):  
Power Management ◽  
Automation System ◽  
Home Automation ◽  
Multi Agent ◽  
Home Automation System

Rule Making Algorithms for Smart Home Control

2014 ◽  
Vol 693 ◽  
pp. 451-456
Author(s):  
Andrej Strasiftak ◽  
Dušan Mudrončík ◽  
Andrea Peterková
Keyword(s):  
Activity Recognition ◽  
Smart Home ◽  
Smart Homes ◽  
Basic Knowledge ◽  
Automation System ◽  
Home Automation ◽  
Learning Mechanism ◽  
Knowledge Database ◽  
Home Automation System ◽  
Rule Making

In this article we want to introduce our first tested concept of a learning mechanism for smart homes. It is a number of interrelated algorithms that search the database of events in the home automation system. By searching, mechanism selects those events that at the time repeated several times under well-defined rules. Finally creates a database of basic rules, some basic knowledge database of activities. These can then serve as the management rules or may be further examined for activity recognition.

scholarly journals Internet-of-Things based Home Automation System using Smart Phone

2021 ◽  
Author(s):  
Zubair Sharif
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Smart Phone ◽  
Smart Homes ◽  
Automation System ◽  
Home Automation ◽  
Sensors And Actuators ◽  
The People ◽  
Recent Developments ◽  
Home Automation System

Smart homes can be of great benefit for both, energy and water management which not only helps to save money but can be highly beneficial for the environment. Such smart automation not only offers optimum consumption of these resources but also leads to higher comfort and conveniences for the users and residents. Recent developments in sensing, networking and communication technologies offering new and advanced forms to link a variety of things around us even with the people. Further, integration of internet of things (IoTs) services by embedding intelligence into these sensors and actuators and connecting them smartly are gaining great popularity to enhance the comfort and quality of life. This paper presents a flexible and low-cost home automation system using various sensors to control the commonly used home appliances and devices where IP connectivity is provided to access and manage them remotely. For this purpose, an Android-based app is developed which can be installed on any smartphone in order to monitor and control the devices from any location. The evaluation of the integrated sensors with the devices and switches shows that the system can offer great automation to achieve the idea of smart homes.

scholarly journals Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2660 ◽  
Author(s):  
Iván Froiz-Míguez ◽  
Tiago Fernández-Caramés ◽  
Paula Fraga-Lamas ◽  
Luis Castedo
Keyword(s):  
Fog Computing ◽  
Smart Homes ◽  
High Energy ◽  
Cloud Services ◽  
Sensor Nodes ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Impact

In recent years, the improvement of wireless protocols, the development of cloud services and the lower cost of hardware have started a new era for smart homes. One such enabling technologies is fog computing, which extends cloud computing to the edge of a network allowing for developing novel Internet of Things (IoT) applications and services. Under the IoT fog computing paradigm, IoT gateways are usually utilized to exchange messages with IoT nodes and a cloud. WiFi and ZigBee stand out as preferred communication technologies for smart homes. WiFi has become very popular, but it has a limited application due to its high energy consumption and the lack of standard mesh networking capabilities for low-power devices. For such reasons, ZigBee was selected by many manufacturers for developing wireless home automation devices. As a consequence, these technologies may coexist in the 2.4 GHz band, which leads to collisions, lower speed rates and increased communications latencies. This article presents ZiWi, a distributed fog computing Home Automation System (HAS) that allows for carrying out seamless communications among ZigBee and WiFi devices. This approach diverges from traditional home automation systems, which often rely on expensive central controllers. In addition, to ease the platform’s building process, whenever possible, the system makes use of open-source software (all the code of the nodes is available on GitHub) and Commercial Off-The-Shelf (COTS) hardware. The initial results, which were obtained in a number of representative home scenarios, show that the developed fog services respond several times faster than the evaluated cloud services, and that cross-interference has to be taken seriously to prevent collisions. In addition, the current consumption of ZiWi’s nodes was measured, showing the impact of encryption mechanisms.

Home Automation Using Bluetooth

2020 ◽  
pp. 675-678
Author(s):  
Mukesh Mahajan ◽  
Astha Dubey ◽  
Samruddhi Desai ◽  
Kaveri Netawate
Keyword(s):  
Temperature Sensor ◽  
Humidity Sensor ◽  
The Other ◽  
Automation System ◽  
Home Automation ◽  
Wireless Devices ◽  
Home Appliances ◽  
Home Automation System ◽  
Condition Systems

This paper reviews basically about Bluetooth based home automation system. It is controlled by PIC microcontroller. Home automation can be defined as the ability to perform tasks automatically and monitor or change status remotely. These include tasks such as turning off lights in the room, locking doors via smartphone, automate air condition systems and appliances which help in the kitchen. Now a days several wireless devices are available such as Bluetooth, Zigbee and GSM. Since Bluetooth is low in cost than the other two and hence is used more. In this paper we have described the methods of automating different home appliances using Bluetooth and pic microcontroller. Different sensors are involved in this system to advance and make it smarter. Sensors such as temperature sensor, liquid sensors, humidity sensor etc. can be used.

Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

2020 ◽  
Vol 8 (1) ◽  
pp. 57-73
Author(s):  
Lery Sakti Ramba
Keyword(s):  
Deep Learning ◽  
Speech Recognition ◽  
Background Noise ◽  
Electronic Devices ◽  
Recognition System ◽  
Background Intensity ◽  
Automation System ◽  
Home Automation ◽  
Speech Recognition System ◽  
Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

scholarly journals An IoT-Based Smart Home Automation System

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3784
Author(s):  
Cristina Stolojescu-Crisan ◽  
Calin Crisan ◽  
Bogdan-Petru Butunoi
Keyword(s):  
Application Programming Interface ◽  
Smartphone Application ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Network Connection ◽  
Communication Scheme ◽  
Application Programming ◽  
Home Automation System ◽  
User Friendly

Home automation has achieved a lot of popularity in recent years, as day-to-day life is getting simpler due to the rapid growth of technology. Almost everything has become digitalized and automatic. In this paper, a system for interconnecting sensors, actuators, and other data sources with the purpose of multiple home automations is proposed. The system is called qToggle and works by leveraging the power of a flexible and powerful Application Programming Interface (API), which represents the foundation of a simple and common communication scheme. The devices used by qToggle are usually sensors or actuators with an upstream network connection implementing the qToggle API. Most devices used by qToggle are based on ESP8266/ESP8285 chips and/or on Raspberry Pi boards. A smartphone application has been developed that allows users to control a series of home appliances and sensors. The qToggle system is user friendly, flexible, and can be further developed by using different devices and add-ons.

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