scholarly journals Analysis and Real-Time Implementation of IoT in Autism

2021 ◽  
Author(s):  
Muhammad Javaid Afzal ◽  
Muhammad Waseem Ashraf ◽  
Shahzadi Tayyaba ◽  
Farah Javaid
Keyword(s):  
Social Skills ◽  
Social Behavior ◽  
Real Time ◽  
Visual Information ◽  
Smart Home ◽  
Smart Homes ◽  
Graphical Analysis ◽  
Peer To Peer ◽  
Aba Therapy ◽  
Special Children

Abstract The present study comprises the importance and use of IoT, smart home, peer-to-peer, and some other different technologies for the betterment of mankind. Artificial intelligence and machine learning are becoming more and more popular in IoT-based smart homes and other techs. The IoT framework has been used to provide a predictable, concrete, and self-paced learning environment and encourages excellent visual information processing. These techs are also useful for special children with autism. They need smart homes, peer-to-peer networking, robot therapy, and wearable techs. In this paper, the authors presented a unique FLC simulation for the behavior of a child with moderate autism. This simulation shows that how IoT, smart home, peer-to-peer technology, ABA therapy, robot therapy, and wearable techs can bring comforts in the life of a child with autism. All of them have long lasted impacts in producing social skills in an ASD person. The 3D graphical figures presented the graphical analysis of a child’s social behavior. The simulation presented 50% betterment change in the social behavior of children and this can be increased up to 87% by using intensive therapies. It is also verified by Mamdani’s method. A real-time implementation of a boy with autism has shown significant improvements in his social skills.

scholarly journals A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3450
Author(s):  
Muhammad Diyan ◽  
Bhagya Nathali Silva ◽  
Kijun Han
Keyword(s):  
Reinforcement Learning ◽  
Energy Consumption ◽  
Real Time ◽  
Smart Home ◽  
Scheduling Algorithm ◽  
Smart Homes ◽  
Human Interaction ◽  
Household Appliances ◽  
Slack Time ◽  
Home User

Maintaining a fair use of energy consumption in smart homes with many household appliances requires sophisticated algorithms working together in real time. Similarly, choosing a proper schedule for appliances operation can be used to reduce inappropriate energy consumption. However, scheduling appliances always depend on the behavior of a smart home user. Thus, modeling human interaction with appliances is needed to design an efficient scheduling algorithm with real-time support. In this regard, we propose a scheduling algorithm based on human appliances interaction in smart homes using reinforcement learning (RL). The proposed scheduling algorithm divides the entire day into various states. In each state, the agents attached to household appliances perform various actions to obtain the highest reward. To adjust the discomfort which arises due to performing inappropriate action, the household appliances are categorized into three groups i.e., (1) adoptable, (2) un-adoptable, (3) manageable. Finally, the proposed system is tested for the energy consumption and discomfort level of the home user against our previous scheduling algorithm based on least slack time phenomenon. The proposed scheme outperforms the Least Slack Time (LST) based scheduling in context of energy consumption and discomfort level of the home user.

scholarly journals Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tran Anh Khoa ◽  
Le Mai Bao Nhu ◽  
Hoang Hai Son ◽  
Nguyen Minh Trong ◽  
Cao Hoang Phuc ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Internet Of Things ◽  
Real Time ◽  
Mobile Networks ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Homes ◽  
Authentication Mechanism

Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.

Research and Implementation of the Smart Home System Based on Internet of Things Environment

2014 ◽  
Vol 513-517 ◽  
pp. 1915-1918
Author(s):  
Heng Wang ◽  
Bi Geng Zheng
Keyword(s):  
Information Technology ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Real Time ◽  
Sensor Network ◽  
Smart Home ◽  
Wireless Sensor ◽  
Internet Of Things Environment ◽  
Real Time Information ◽  
Time Information

As one of the freshest technologies nowadays, the development of Internet of Things is attracting more and more concerns. Internet of Things is able to connect all the items to Internet via information technology such as RFID and Wireless Sensor Network, in order to realize intelligent identification and management. It is supposed in Internet of Things environments, satisfactory services can be provided through any devices or any networks, whenever it is demanded. It makes that not only PC device but also other small devices with intelligence can be connected to the same network. As a result, It is much more convenient for people to obtain real-time information and then to take corresponding actions.

Real Time Energy Monitoring and Control Model for Peer-to-Peer Integrated Hybrid Supply System

2021 ◽  
Author(s):  
Kufre Esenowo Jack ◽  
Nsikak John Affia ◽  
Uchenna Godswill Onu ◽  
Emmanuel Okekenwa ◽  
Ernest Ozoemela Ezugwu ◽  
...  
Keyword(s):  
Real Time ◽  
Control Model ◽  
Peer To Peer ◽  
Supply System ◽  
Monitoring And Control ◽  
Energy Monitoring ◽  
And Control
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