scholarly journals A survey of various intelligent home applications using IoT and intelligent controllers

2021 ◽  
Vol 23 (1) ◽  
pp. 490
Author(s):  
Mustafa Asaad Omran ◽  
Wasaan Kadhim Saad ◽  
Bashar Jabbar Hamza ◽  
Ahmed Fahem Al-baghdadi
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Human Life ◽  
Smart Homes ◽  
The Internet ◽  
Automation System ◽  
Monitoring And Control ◽  
Intelligent Home ◽  
Home Automation System ◽  
Internet Of Things Technology

<span>The tremendous development in technology used in our daily life was one of the most important incentives for researchers to add technology that is easy to use and useful in human life, an example internet of things (IoT) and systems of intelligence used in various fields. This article provides an overview of the smart home (SH) study of the Internet of Things as smart homes (SHs) have attracted great interest with communication technology advancements. The intelligent home is an Internet of Things technology that allows the monitoring and control of devices via the Internet using a home automation system (HAS). Followed by the justification for choosing the smart home and smart home engineering, and what are the most used communication protocols for smart homes, whether wired or wireless.</span>

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

scholarly journals Breaking Down the Compatibility Problem in Smart Homes: A Dynamically Updatable Gateway Platform

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2783 ◽  
Author(s):  
Linh-An Phan ◽  
Taehong Kim
Keyword(s):  
Internet Of Things ◽  
Software Architecture ◽  
Heterogeneous Networks ◽  
Execution Time ◽  
Smart Home ◽  
Smart Homes ◽  
Smart Devices ◽  
The Internet ◽  
Adoption Rate ◽  
The Internet Of Things

Smart home is one of the most promising applications of the Internet of Things. Although there have been studies about this technology in recent years, the adoption rate of smart homes is still low. One of the largest barriers is technological fragmentation within the smart home ecosystem. Currently, there are many protocols used in a connected home, increasing the confusion of consumers when choosing a product for their house. One possible solution for this fragmentation is to make a gateway to handle the diverse protocols as a central hub in the home. However, this solution brings about another issue for manufacturers: compatibility. Because of the various smart devices on the market, supporting all possible devices in one gateway is also an enormous challenge. In this paper, we propose a software architecture for a gateway in a smart home system to solve the compatibility problem. By creating a mechanism to dynamically download and update a device profile from a server, the gateway can easily handle new devices. Moreover, the proposed gateway also supports unified control over heterogeneous networks. We implemented a prototype to prove the feasibility of the proposed gateway architecture and evaluated its performance from the viewpoint of message execution time over heterogeneous networks, as well as the latency for device profile downloads and updates, and the overhead needed for handling unknown commands.

scholarly journals Achieving Differential Privacy in Smart Home Scenarios

2019 ◽  
Author(s):  
Israel C. Vidal ◽  
Franck Rousseau ◽  
Javam C. Machado
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Differential Privacy ◽  
Smart Homes ◽  
The Internet ◽  
The Internet Of Things

With the growth of the Internet of Things (IoT) and Smart Homes, there is an ever-growing amount of data coming from within people’s houses. These data are intrinsically private and should be treated carefully, despite their high value for analysis. In this work, we propose a differentially private strategy to estimate frequencies of values in the context of Smart Home data.

scholarly journals IOT Home Automation

2021 ◽  
Vol 9 (12) ◽  
pp. 1820-1823
Author(s):  
Ranjan Navin
Keyword(s):  
Internet Of Things ◽  
Communication Systems ◽  
Mobile App ◽  
The Internet ◽  
Automation System ◽  
Daily Routine ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Internet Of Things

Abstract: The Internet of Things (IoT) is the most recent technology platform. We may regulate our daily routine work, such as home applications, control, and simple communication systems, using IOT, and improve our digital services. The Internet of Things (IoT) is a system that intelligently adds everyday content information to the internet in order to facilitate communication between objects and humans, as well as among themselves. In this study, we demonstrate how IoT can improve home automation. The relay, Node MCU, which is a network access component, is used in our suggested system. We can control that equipment using an IoT-based system technique. Mobile phones, computers, and tablets are used as user interfaces in home automation systems. They can connect to the home automation network through a wireless internet connection. The user will interact with the system directly via the control interface, while home appliances will be controlled remotely via a mobile app. An additional aspect of the home automation system is that it may be protected remotely. This redesigned design concept provided a home automation system that could be controlled efficiently. Keywords: IOT, home automation, smart home, relay, response time, Node MCU (ESP8266)

scholarly journals A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

2020 ◽  
Vol 10 (9) ◽  
pp. 3074 ◽  
Author(s):  
Samad Sepasgozar ◽  
Reyhaneh Karimi ◽  
Leila Farahzadi ◽  
Farimah Moezzi ◽  
Sara Shirowzhan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Home ◽  
Smart Homes ◽  
Research Direction ◽  
The Internet ◽  
Main Question ◽  
Smart Energy Systems ◽  
Assistive Systems ◽  
The Internet Of Things

This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

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.

Design and Implementation of Gas Detector Position Computer System Based on ARM

2013 ◽  
Vol 397-400 ◽  
pp. 1744-1748
Author(s):  
Liang Shi ◽  
Heng Zhao ◽  
Hao Cai
Keyword(s):  
Internet Of Things ◽  
Software Design ◽  
Smart Home ◽  
The Internet ◽  
Hardware Platform ◽  
Design And Implementation ◽  
Detector Position ◽  
Gas Detector ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Relying on the author-designed new gas detector the system completes the ARM - based processor hardware platform software design, the using of smart home products design concept and the Internet of Things technology. The system had unattended receiving data, network remote query, data warning functions and with good prospects.

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