Artificial Intelligence in Smart Homes: A Research Project

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RESEARCH PROJECT
Topic Name- Artificial Intelligence in Smart Home
Student name:
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Contents
Part 1: Project Proposal - (LO1 Artificial Intelligence in Smart Home)....................................3
Introduction and Research Background.....................................................................................3
Literature Review.......................................................................................................................5
Research Methodology...............................................................................................................7
Research Timeline....................................................................................................................10
References................................................................................................................................11

Part 1: Project Proposal - (LO1 Artificial Intelligence in Smart Home)
Introduction and Research Background
Title of Research: “Artificial Intelligence in Smart Home”.
A home which is connected with the highly automated devices to manage the light
mechanism and manage the temperature protocol called the Smart home. Monitoring of all
the home equipment and security application is control by the use of AI. With the help of the
AI, protocol manages all the infrastructure function of the smart home. Management function
for the smart home, implementation of software which is take the decision-making function is
to introduce with the help of the AI. AI provides the multi-control technique with the help of
network function to operate the concept function in the smart home. AI creates the
homemade network system which is monitoring all the management function which is
equipped in the smart home.
Aim of Research and Research Objective:
The aim of artificial intelligence in the smart home is to increase the life structure of the
human being. AI creates an ability with the help of human life should be easier and more
convenient. With the help of the AI, application security function in the smart home should
be high. For any kind of emergency like a fire system, the door unlocks in this condition with
the use of AI function increase the safety function. AI provides a path function for the power
of computing to develop the protocol which controls all the activity which is performed in the
smart home. For the smart home, the function uses the store data for taking the decision-
making protocol in the AI function.

Figure 1: Artificial Intelligence in smart home Objective
Main Research Objective:
 With the help of the data, network protocol increases the exchange of solution for the
smart home parameter.
 AI identifies the level of human interaction for presenting the working data.
 Identify the decision-making data which is helpful for better communication.
 Justify the capacity of the sensor to manage the level of connection.
 Establish a path function with the help of the AI protocol to increase the security
application in the smart home and control all the activity for the smart home (Lobaccaro
et al., 2016).
Research Rationale:
AI is the computer programming technique which identifies the real problem which is face
during the smart home concept. The growth rate of the smart home should be increased when
it follows the logical function of the AI function. For the smart home tool of AI develop a
structure which is full fill the need of the client and provide the high-level leaving standards.
Model of AI generated an environment in the smart home application to monitoring all the
operation resources. Concept of smart home design is the part of autopilots for gathering the
information decision (Lynggaard et al., 2016).

Research Importance:
AI plays a vital role in the design structure of the smart home. All the data sensor of the AI
model is analysis the application of the smart home to providing a better security manner. AI
generates an attention parameter for the smart home resources to increase the human leaving
standard. AI technology provides the proper solution for making a positive environment in
the smart home (Shareef et al., 2018).
Literature Review
According to Russell et al. (2015), smart home is the framework of the network hardware,
management application, interaction level and way of communication with the help of the AI.
Model of AI created the interaction level for the smart home control. The technology of the
smart home is directly linked by the function of the AI. The framework of the AI manages the
activity sequence which is performed in the smart home. Programme algorithm of the AI is
the ability to conduct a suitable result according to the client information.
With the help of the AI platform in the smart home monitor the physiological function, find
out the emergency protocol detection and provide the safety or security assistance for the
user. Data sensor of AI transfer the indication which is received from the user side and
according to the network protocol provides the decision in the smart home. In the AI multi-
agent network protocol all the decision-making process is the logical function which is
operated through the programming of the computer. All the communication level of the smart
home is managed through the AI network. Computing function of the AI tool is analysis the
client instruction and implements the process function on the behalf of user follow up.
According to Lu et al. (2018), AI creates a mechanism which is operating the function
according to the gather information from the user side. All the alerting application which it
performs in the smart home working function is control by the AI parameter. Intelligence
behaviour of the AI is justifying the management function of the user activity. According to
the client, the performance structure model of AI monitors the entire function event which is
followed in the home. All the supervision and control of the smart home system is analysis
through the AI function. According to the smart home information, AI develops a cycle
which is executing the information from one network to another control protocol for balance

the working operation. AI application provides the high-level security function to increase the
rate of customer satisfaction and provide suitable decision making an application on the client
instruction for the smart home framework.
The sensor of the AI is equipped the transfer information according to the requirement of the
client. Collection of the AI is the part function of the programming techniques and with the
help of them resolves the human problem according to the requirement. The tool of AI
generated the system of automation to increase the working process in the smart home. AI
develops a reasoning system which is analysis the user prototype and takes the decision on
the behalf of collected data. Development of the AI is producing the result according to the
collection system information and increases the human leaving standards. With the help of
the AI tool detected the user requirement and according to the client requirement
programming of the AI is take the suitable action in the framework of the smart home.
According to Hui et al. (2017), AI is part of the circuit of electronics. According to the user
database protocol AI implement the decision and on the behalf of AI decision manage all the
performance in the concept of the smart home. AI makes a comfortable zone for the client to
increase the facility function. With the help of the tool of the AI increase the cost of the
generated system and increase the comfortable protocol for the client. AI provides the
authentication function which increases the security assistance and makes the suitable
management function for the design structure of the smart home. AI provides the proper
decision making an application with the help of the programming concept and follows the
instruction which is provided by the client. In the concept of the smart home, the entire
working implement is controlled by the AI protocol. The network protocol of the AI function
is finding out the user action and according to them provides the suitable.
The protocol of the AI provides a larger amount of security function to increase customer
satisfaction. AI follows the different type of security threats which increases the working
management project for the smart home design. Processing of video, processing of image and
processing of audio is the main security concept which is followed by the tool of the AI. With
the help of the database management system increase the activation function for smart home
security threats. AI is the technology which follows the decision-making function according
to the instruction of the user and generates a suitable result which is full-fill the need of the
client. AI is the remote control ability which makes the comfort zone for the user and
provides a suitable security application with proper follow up of the user instruction.

Research Methodology
The methodology is the part function of the AI protocol for establishes the design structure of
the smart home. The algorithm of AI function follows the Z-wave information source for
routing the information which is received from the customer side. According to the user, the
requirement finds out the methodology code which identifies the activity location and
position of the network. With the use of the zee-bee concept of the network in the AI, the
application finds out the path function of the information receiver (Chen et al., 2017).
Quantitative method is the baseline of the AI protocol to increase the customer satisfaction
rate. Zee-bee is the most quantitative AI method for the concept of a smart home design
application. With the help of this method process analysis the framework of the network
wirelesses. In this technology, the method finds out the route of information which is
followed by the AI protocol.
Figure 2: Quantitative AI Research Method for Smart Home
The framework of the AI application is determining the qualitative research method for the
increase in the client satisfaction rate. In the qualitative research, method analysed the
flexibility of the AI devices. With the help of the qualitative research, protocol identifies the
broadcast message which is received from the client side.
The interview is a suitable method to identify the basic concept of the smart home with the
help of the AI protocol. The interview represents the basic need of the customer and identifies
the satisfaction rate of the user. With the help of the interview structure find out the security

assistance of the client and according to them make the suitable changes for the application of
the AI protocol. During the interview, the concept finds out the client response to implement
the design structure of the smart home on the basis of the AI protocol (Fortin-Simard et al.,
2015).
Data collection is the process framework for the AI application. With the help of the
management of the database, protocol finds out the need of the customer and analysis the
instructions of the user. Data collection is the part of the user instruction information which is
given to the framework of the AI to capable the activity function for the smart home concept.
Method of data collection is directly linked with the AI network protocol to control the
working application. For the function of the data collection analysis the possible difficulties
to find out the client demand and according to the user or client need to provide the suitable
implement in the function of AI protocol. With the help of the data, the collection application
finds out the client need.
Figure 3: Data Collection AI Framework for the smart home concept

Analytical Techniques:
AI is the basic need of the concept of the smart home application. With the help of the AI, a
protocol created a path function which increases the high flexibility range for the network
devices. The communication network of the AI manages the decision making the process
function to increase the high range of customer satisfaction. For the AI network protocol
finds out the Instead method for routing the information from one network to another
communication channel. For the smart home, the application determines the client command
and according to the message performs the interface activity (Hsu et al., 2017).
Figure 4: Analytical AI Techniques for the concept of Smart Home
Research Timeline
Research timeline is the path function with the help of them identify the completing time of
the research project. The time frame of the smart home concept with the help of AI
application function is depending on the need of the client. The research structure for the AI
parameter for the smart home concept is started from December 2018 until June 2019 to find
out the client response. With the help of the client response analysis the feedback of the
concept of the smart home and justify the security application with the help of the AI
function. With the help of the Gantt chart, application protocol defines the complete activity
structure which is performed in the smart home concept. With the help of the activity
structure analysis, the timeline for each and every activity and also determines the response
from the user side. The research timeline is the tool to identify the communication structure
from the client side and according to the client demand provides a suitable result with proper
security manner (Javed et al., 2016).

References
Chen, M., Yang, J., Zhu, X., Wang, X., Liu, M. and Song, J., 2017. Smart home 2.0:
Innovative smart home system powered by botanical IoT and emotion detection. Mobile
Networks and Applications, 22(6), pp.1159-1169.
Fortin-Simard, D., Bilodeau, J.S., Bouchard, K., Gaboury, S., Bouchard, B. and Bouzouane,
A., 2015. Exploiting passive RFID technology for activity recognition in smart homes. IEEE
Intelligent systems, 30(4), pp.7-15.
Hsu, Y.L., Chou, P.H., Chang, H.C., Lin, S.L., Yang, S.C., Su, H.Y., Chang, C.C., Cheng,
Y.S. and Kuo, Y.C., 2017. Design and implementation of a smart home system using
multisensor data fusion technology. Sensors, 17(7), p. 1631.
Hui, T.K., Sherratt, R.S. and Sánchez, D.D., 2017. Major requirements for building Smart
Homes in Smart Cities based on Internet of Things technologies. Future Generation
Computer Systems, 76, pp. 358-369.
Javed, A., Larijani, H., Ahmadinia, A. and Gibson, D., 2016. Smart random neural network
controller for HVAC using cloud computing technology. IEEE Transactions on Industrial
Informatics, 13(1), pp. 351-360.
Lobaccaro, G., Carlucci, S. and Löfström, E., 2016. A review of systems and technologies for
smart homes and smart grids. Energies, 9(5), p. 348.
Lu, H., Li, Y., Chen, M., Kim, H. and Serikawa, S., 2018. Brain intelligence: go beyond
artificial intelligence. Mobile Networks and Applications, 23(2), pp. 368-375.
Lynggaard, P. and Skouby, K., 2016. Complex IoT systems as enablers for smart homes in a
smart city vision. Sensors, 16(11), p. 1840.
Russell, S., Dewey, D. and Tegmark, M., 2015. Research priorities for robust and beneficial
artificial intelligence. Ai Magazine, 36(4), pp. 105-114.

Shareef, H., Ahmed, M.S., Mohamed, A. and Al Hassan, E., 2018. Review on home energy
management system considering demand responses, smart technologies, and intelligent
controllers. IEEE Access, 6, pp. 24498-24509.