scholarly journals Design and Implementation of the E-Switch for a Smart Home

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3811
Author(s):  
Fabian García-Vázquez ◽  
Héctor A. Guerrero-Osuna ◽  
Gerardo Ornelas-Vargas ◽  
Rocío Carrasco-Navarro ◽  
Luis F. Luque-Vega ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mobile Application ◽  
Smart Home ◽  
The Internet ◽  
Cloud Environment ◽  
Design And Implementation ◽  
Methods And Techniques ◽  
And Storage ◽  
The Internet Of Things ◽  
Reducing Energy

As the development of systems in smart homes is increasing, it is of ever-increasing importance to have data, which artificial intelligence methods and techniques can apply to recognize activities and patterns or to detect anomalies, with the aim of reducing energy consumption in the main home domestic services, and to offer users an alternative in the management of these resources. This paper describes the design and implementation of a platform based on the internet of things and a cloud environment that allows the user to remotely control and monitor Wi-Fi wireless e-switch in a home through a mobile application. This platform is intended to represent the first step in transforming a home into a smart home, and it allows the collection and storage of the e-switch information, which can be used for further processing and analysis.

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.

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.

scholarly journals ForeSight - AI-based Smart Living Platform Approach

2020 ◽  
Vol 6 (3) ◽  
pp. 384-387
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Christoph Konrad ◽  
Martin Holzwarth ◽  
Andreas Mayr ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Home ◽  
Service Providers ◽  
Daily Life ◽  
The Internet ◽  
Context Sensitive ◽  
Smart Living ◽  
Housing Industry ◽  
The Internet Of Things

AbstractIn the upcoming years, the internet of things (IoT) will enrich daily life. The combination of artificial intelligence (AI) and highly interoperable systems will bring contextsensitive multi-domain services to reality. This paper describes a concept for an AI-based smart living platform with open- HAB, a smart home middleware, andWeb of Things (WoT) as key components of our approach. The platform concept considers different stakeholders, i.e. the housing industry, service providers, and tenants. These activities are part of the Fore- Sight project, an AI-driven, context-sensitive smart living platform.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

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