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 Smart Home Automation Towards the Development of Smart Cities

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhujaili
Keyword(s):  
Remote Control ◽  
Mobile Application ◽  
Intelligent Systems ◽  
Smart Home ◽  
Smart Cities ◽  
Low Cost ◽  
Automation System ◽  
Home Automation ◽  
Turn On ◽  
Home Automation System

The home automation system is indeed a system that offers a mobile application to monitor it through the smartphone or tablet. It can control home appliances like light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi is used for remote control of things. Smart home is essentially how it looks: automating with such an easy touch of a button or a voice command the ability to manage things across the home. Several operations were both simple and extremely low-cost, such as setting up a light to turn on and off at the time of your moment. Others need much more money and resources, including advanced spy cameras. Some people thought that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

scholarly journals Home Automation through Smart Lighting, Smart Security and other Appliances

2021 ◽  
Vol 37 ◽  
pp. 01024
Author(s):  
S Rajarajeswari ◽  
Shola Usha Rani ◽  
Alpanshu Kataria ◽  
Soumitro Dutta
Keyword(s):  
Mobile Application ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Dos Attacks ◽  
Smart Lighting ◽  
Interactive Tools ◽  
Man In The Middle ◽  
Home Automation System ◽  
Visual Interface

The smart home automation system is designed to conveniently manage and monitor household appliances and lighting fixtures remotely, to save time and to use resources effectively. It is a control system for allowing access to home automation devices. The automation devices include lights, fan, camera and doors. It even enhances the main features of the project to control the home appliances from anywhere as remotely. With the camera module, continuous surveillance and protection of the home is accomplished. A significant improvement is achieved in utility costs by an optimal use of energy. Using inexpensive electronic and interactive tools, this initiative can be applied, making it economically, physically and operationally feasible. Basically it involves controlling everything remotely via a visual interface and mobile application. The automation system employs the use of MQTT protocol in order to secure the transmitted device based information to and from in the network. The defense against Man in the Middle attack (MITM) is the main focus of our automation system. The routed messages are checked at the intermediate hub to check for the occurrence of MITM based DoS attacks through manual reset points. .

scholarly journals Smart Home Automation Towards the Development of Smart Cities

2020 ◽  
Vol 5 (1) ◽  
pp. 13-20
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhejaili
Keyword(s):  
Mobile Application ◽  
Intelligent Systems ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Device ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Home Automation System

Home automation system is a system that controls by the smart device using a mobile application. It can control home appliances such as light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi technology will be used to control things remotely.  Many people were thinking about that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

scholarly journals Detection of Android Adwares by using Machine Learning Algorithms

2020 ◽  
Vol 8 (4S) ◽  
pp. 17-21
Keyword(s):  
Machine Learning ◽  
Human Life ◽  
Binary Classification ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Automation System ◽  
K Nearest Neighbors ◽  
Android Malware ◽  
Linear Discriminant ◽  
Home Automation System

With the rapid growth in technology, which is improving every day and becoming more pervasive, smartphone users also are increasing. These intelligent devices and gadgets are now being used in automated vehicles, IoT enabled industries, surveillance, education, entertainment, etc. Android, Linux kernel based mobile operating system, with its largest market share is now being used in almost every device that is capable to do some computation. These devices may include smartwatches, digital cameras, smart glasses, smart mirrors, Home Automation System (HAS), Internet of Things (IoT), Internet of Vehicles (IoV), and many more. Parallel to these developments, the android based systems also are being targeted by the cyber attacker by developing more advanced malwares. Such attacks may harm to the system as well as human life. The android malwares are evolving day by day and are capable to escape the traditional security solutions. Therefore, security is the primary issue of android based system, which requires to be re-investigated. In this paper, we analyze the pertinence of machine learning based solutions to detect android malware, particularly Adware. Logistic Regression (LR), Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Classification And Regression Trees (CART), and Naive Bayes (NB) machine-learning algorithms are trained and tested for two scenarios. Scenario A for binary classification and Scenario B is for multi-class classification. The 60% of the dataset is used to train the ML algorithms and the remaining 40% is reserved for the testing. The algorithms are evaluated by using 10-fold crossvalidation method.

scholarly journals Smart Home Automation Towards the Development of Smart Cities

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhujaili
Keyword(s):  
Remote Control ◽  
Mobile Application ◽  
Intelligent Systems ◽  
Smart Home ◽  
Smart Cities ◽  
Low Cost ◽  
Automation System ◽  
Home Automation ◽  
Turn On ◽  
Home Automation System

The home automation system is indeed a system that offers a mobile application to monitor it through the smartphone or tablet. It can control home appliances like light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi is used for remote control of things. Smart home is essentially how it looks: automating with such an easy touch of a button or a voice command the ability to manage things across the home. Several operations were both simple and extremely low-cost, such as setting up a light to turn on and off at the time of your moment. Others need much more money and resources, including advanced spy cameras. Some people thought that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

scholarly journals Smart home automation towards the development of smart cities

2020 ◽  
Vol 1 (1) ◽  
pp. 17-25
Author(s):  
Tanweer Alam ◽  
Abdulrahman A. Salem ◽  
Ahmad O. Alsharif ◽  
Abdulaziz M. Alhejaili
Keyword(s):  
Mobile Application ◽  
Intelligent Systems ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Device ◽  
Automation System ◽  
Home Automation ◽  
Home Appliances ◽  
Home Automation System

Home automation system is a system that controls by the smart device using a mobile application. It can control home appliances such as light, fans, air conditions, and smart security locks, etc. Bluetooth or Wi-Fi technology will be used to control things remotely.  Many people were thinking about that technology is taking a really huge part of our lives. It does! we’re living in a modern generation where smart and intelligent systems are necessary to be there wherever we are to make our lives easier and much better, for example, we can do many things faster, better, and more accurate.

scholarly journals Home Automation with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

scholarly journals Smart Home Environment Future Challenges and Issues - A Survey

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Sathesh ◽  
Yasir Babiker Hamdan
Keyword(s):  
Energy Management ◽  
Home Environment ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Negative Effects ◽  
Research Article ◽  
Home Energy Management ◽  
Smart Home Environment ◽  
Home Automation System

The smart home automation is that the exploitation internet enabled devices remotely and mechanically management appliances such as lighting, heating system and security measures in and around your home. This papers talks about relative emission effects in Home Energy Management. Also the result outcome is that consumption of the electricity will be reduced towards green environment. Moreover, the research paper is considering the analysis of calculate the negative effects in environment due to full home automation system. While calculating these negative effects, the Life Cycle Assessment (LCA) should be in sum total. This study uses to analysis the electricity consumption for environment impact of Home Energy Management system (HEMs). The research article discusses home automation system consumes the energy for different devices connected for smart home. The maximum energy consumption in smart home network is smart plugs due to an uninterrupted supply. Therefore this research article comprises about home automation energy management that shows the balance energy consumption between the devices in a regular interval. Also this research article provides a future challenge tasks in security issues in smart home environment. Also the perception for smart home environment focuses the Interoperability, Reliability, Integration of smart homes and term privacy in context, term security and privacy vulnerabilities to smart home.

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