scholarly journals Integrated Security Home Automation Based on IOT

2018 ◽  
Vol 7 (2.32) ◽  
pp. 348
Author(s):  
Prof. V.Srikanth ◽  
H Suchetha ◽  
K Pravllika
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Digital Signature ◽  
Temperature Sensor ◽  
Smart Cities ◽  
Home Automation ◽  
Biometric System ◽  
Collection Data ◽  
Level Sensor ◽  
Sensor Temperature

Internet of Things (IoT)is the network of home appliances, vehicles and physical devices, which enables the objects to connect and exchange of the data. By using these components IoT supports to develop numerous services in various domains, such as smart cities and smart homes.These components can interact with other components by enabling security such asproxies, data collection, data sharing and other activities in the context of service providence. Until now various research works have studied on these securityissues ofIoT by validating their claim.In this study we are developing a framework, which provides security to the home as well as to operate the appliances in the home using smart technology.For entering into the house using a biometric system, which uses authentication and digital signature to access.We have used biometric system to overcome problems we are facing. In this project there are different sensors such as water level sensor, light sensor, temperature sensor, gas sensor for operation of different appliances in the house.  

Intelligent Thermometer Design Based on SCM

2013 ◽  
Vol 433-435 ◽  
pp. 1563-1566
Author(s):  
Jian Lin Zhang
Keyword(s):  
Data Collection ◽  
System Design ◽  
Temperature Sensor ◽  
Embedded Software ◽  
Excellent Performance ◽  
Display Module ◽  
Sensor Module ◽  
Lcd Display ◽  
Processing Module ◽  
Sensor Temperature

An intelligent thermometer system design is presented in this paper. There are temperature sensor module, data collection module, data processing module, keyboard number tube module, voice module and LCD display module in this system. Due to excellent performance of temperature sensor, temperature sensor is used in system to obtain the temperature, transform the voltage, amplify OP precisely, and get 12 bits accuracy of samples. In order to make the system interface friendly, embedded software is developed to realize such functions as alarm temperature settings, LED screen display, audio playback and so on.

scholarly journals IOT Based Smart Home-Grown Scheme Using Bluetooth

2020 ◽  
pp. 177-181
Author(s):  
Saranya M D ◽  
Sakthi Priya V ◽  
Pradeepkumar G ◽  
Dineshkumar Ponnusamy
Keyword(s):  
Temperature Sensor ◽  
Smart Home ◽  
World Wide ◽  
Low Cost ◽  
Temperature Sensors ◽  
Automation System ◽  
Home Automation ◽  
Android App ◽  
Home Automation System ◽  
Sensor Temperature

- In today’s situation involuntary classifications remain existence favoured over physical system. Home automation is playing significant part in humanoid lifespan. The paper is used intended for nursing and controlling the home-grown utilizations via World Wide Web which container interconnect through home automation system through an Internet entry, by means of announcement conventions. Home automation scheme uses the hand-held or vesture diplomacies as a user boundary. This paper goals at supervisory household utilizations via Smartphone using Bluetooth as announcement etiquette and interfaced with Arduino Board. It assimilates Passive Infrared (PIR) sensor, Temperature sensor, gas sensor, Light Dependent Resistor (LDR) sensor. At this time PIR sensor and Temperature sensors remained used for controlling the spotlight and fan. The statement through attendant permits the operator to excellent the fitting device. In the proposed organization an android app was developed to access the system wherever via Internet of things. The gas device used to designate the absorption of gas in the air. Buzzer attentive is given to warm others neighbouring home and also the possessor through internet via the smart receiver. The LDR is used to switch garden spotlight. This project provides a low cost and competent Homegrown Computerization System.

Challenges and Solutions of Big Data and IoT

2019 ◽  
pp. 264-272
Author(s):  
Jayashree K. ◽  
Abirami R. ◽  
Rajeswari P.
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Collection ◽  
Internet Of Things ◽  
Data Processing ◽  
The Internet ◽  
Huge Amount ◽  
Collection Data ◽  
Different Sources ◽  
The Internet Of Things

The successful development of big data and the internet of things (IoT) is increasing and influencing all areas of technologies and businesses. The rapid increase of more devices that are connected to IoT from which enormous amount of data are consumed indicates the way how big data is related with IoT. Since huge amount of data are obtained from different sources, analysis of these data involves much of processing at each and every level to extract knowledge for decision making process. To manage big data in a continuous network that keeps expanding leads to few issues related to data collection, data processing, analytics, and security. To address these issues, certain solution using bigdata approach in IoT are examined. Combining these two areas provides several opportunities developing new systems and identify advanced techniques to solve challenges on big data and IoT.

scholarly journals Machine Learning Applications: The Past and Current Research Trend in Diverse Industries

Inventions ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
Omid Ameri Sianaki ◽  
Ashkan Yousefi ◽  
Azadeh Tabesh ◽  
Mehregan Mahdavi
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Collection ◽  
Internet Of Things ◽  
Smart Cities ◽  
Research Trend ◽  
The Internet ◽  
Process Data ◽  
Learning Techniques ◽  
Machine Learning Applications

Dramatic changes in the way we collect and process data has facilitated the emergence of a new era by providing customised services and products precisely based on the needs of clients according to processed big data. It is estimated that the number of connected devices to the internet will pass 35 billion by 2020. Further, there has also been a massive escalation in the amount of data collection tools as Internet of Things devices generate data which has big data characteristics known as five V (volume, velocity, variety, variability and value). This article reviews challenges, opportunities and research trends to address the issues related to the data era in three industries including smart cities, healthcare and transportation. All three of these industries could greatly benefit from machine learning and deep learning techniques on big data collected by the Internet of Things, which is named as the internet of everything to emphasise the role of connected devices for data collection. In the smart grid portion of this paper, the recently developed deep reinforcement learning techniques and their applications in Smart Cities are also presented and reviewed.

scholarly journals Design and implementation of a smart home system with two levels of security based on IoT technology

2021 ◽  
Vol 21 (1) ◽  
pp. 546
Author(s):  
Mohammed Murad ◽  
Oguz Bayat ◽  
Hamzah M. Marhoon
Keyword(s):  
Temperature Sensor ◽  
Smart Home ◽  
Smart Cities ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Design And Implementation ◽  
System Components ◽  
Level Sensor ◽  
Android App ◽  
The Internet Of Things

<span>Besides the development of technology in recent years, there has been an effective tendency to construct smart cities and homes. Whereas the smart home control system components can be incorporated with the existing home appliances to eliminate the need for human intervention, save electricity, protect homes from accidents as well as the theft, and provide home residents with comfort. This work comprises the utilising of the internet of things (IoT) technology to build the proposed design for the smart home. The proposed design includes many subsystems as well as several types of sensors, such as the passive infrared (PIR) sensor, the gas sensor, the soil moisture sensor, the water level sensor, the temperature sensor, the light dependent resistance (LDR), and the flame sensor. Each sensor will be connected to the Arduino Nano for the data processing purpose, after which the Arduino Nano will be connected to the NodeMCU module via the digital pins to implement the IoT subsystem. The proposed system also includes a smart garage gate based on Bluetooth HC-05 module with a specially programmed android app. </span>

scholarly journals Future of IOT

2021 ◽  
Vol 9 (11) ◽  
pp. 681-702
Author(s):  
Vishal Sharma
Keyword(s):  
Internet Of Things ◽  
Secure Communication ◽  
Smart Cities ◽  
Home Automation ◽  
Way Of Life ◽  
Time Period ◽  
Keywords Internet ◽  
Verbal Exchange ◽  
Future Technologies ◽  
The Web

Abstract: Internet of Things (IoT) can also be a thinking that encompasses severa objects and approaches of verbal exchange to change info. these days IoT is a lot of a descriptive time period of a imaginative and prescient that the whole thing ought to be related to the web. IoT are going to be primary inside the future as a end result of the notion exposes possibilities for manufacturer new offerings and new innovations. All objects are going to be linked and geared up to speak with one another, whereas they function in unprotected environments. This later side outcomes in most important protection challenges. With the introduction of the net of Things (IoT), our verbal exchange capability may not be constrained to completely cell devices. Rather, it will increase to any or all matters with that we have a tendency to be. numerous research have referred to IoT-related offerings and platforms. However, there rectangular measure completely restrained discussions concerning the IoT network. at some point of this paper, we will completely analyze the technical small print involving the IoT network. supported our survey of papers, we are going to provide perception concerning the lengthy run IoT community and consequently the integral parts which will alter it. With the net of Things (IoT) bit by means of bit evolving due to the fact the succeeding area of the evolution of the web, it turns into integral to well known the different manageable domains for utility of IoT, and consequently the evaluation challenges that rectangular measure associated to these applications. Beginning from smart cities, to fitness care, good agriculture, imparting and retail, to even smart residing and good environments IoT is estimated to infiltrate into just about all components of way of life. Keywords: Internet of Things, IoT, information security, identification, home automation, secure communication, Internet of Everything, IoT network, future network, IoT applications, IoT gateway, future technologies.

What limits the Implementation of Internet of Things (IoT)? A Picture of Indonesian Market

2020 ◽  
Vol 39 (4) ◽  
pp. 5397-5406
Author(s):  
Leonardus W. Wasono Mihardjo ◽  
Faizal R. Djoemadi ◽  
Sasmoko ◽  
Riza AN Rukmana
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Engineering Industry ◽  
Equation Modeling ◽  
Innovative Capabilities ◽  
Collection Data ◽  
Willingness To Use

In the field of Industry 4.0, various studies considered the engineering industries, however, the limitations of Internet of things (IoT) implementation is not discussed by these studies and literature missed the crucial challenges of IoT implementation, particularly in the Indonesian engineering companies. Therefore, the objective of the current study is to investigate the factors which limits the implementation of IoT. Additionally, the moderating role of employee innovative capabilities is also considered. A survey was carried out in the Indonesian engineering companies for data collection. Data collection was carried out form the employees of these companies. After data collection, structural equation modeling (SEM) was used to analyse the data with the help of Partial Least Square (PLS). Findings of the study demonstrated that there are five key factors which effect the IoT implementation. These factors include; willingness to use, hardware characteristics, replacement of existing technology, failure threat and implementation cost. All these factors have the ability to influence IoT implementation. Additionally, employee innovative capability also has the ability to encourage or discourage the IoT implementation. Therefore, this study is most significant for the engineering industry of Indonesia as it provides the influencing factors towards IoT implementation.

Internet of Things based Automation using Artificial Intelligence

2018 ◽  
Vol 6 (7) ◽  
pp. 142
Author(s):  
Chandra Sekar B ◽  
Nikhil K S ◽  
Raju K N ◽  
Sanjay M ◽  
Chandrappa D N
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Home Automation ◽  
Web Page ◽  
Ip Address ◽  
And Control ◽  
The Internet Of Things ◽  
Exchange Data

The  Internet of Things(IoT)  has become a hot topic in the present tech-driven world. Internet of Things is one of the promising technology used to control objects connected to Internet through IP address, which enables objects to collect and exchange data. Internet of Things is expanding itself into different areas. Home Automation is one of the trend in application of IoT for realizing smart cities. In the paper, we are developing a system which will control through MQTT protocol. MQTT has been utilized as a platform to provide IoT services which will monitor the applications and generate alerts or take intelligent decisions using concept of IoT. Nodemcu was used as aIoT end device connecting relays to the platform via wifi channel. Home scenario is created and designed IoT messages satisfying the scenario requirement. We also implemented Automation through HTML web page. A main contribution of this paper is that it summarizes uses of Intenet of Things in Home Automation with Artificial Intelligence to monitor and control the appliances.

IoTP an Efficient Privacy Preserving Scheme for Internet of Things Environment

2020 ◽  
Vol 14 (2) ◽  
pp. 116-142
Author(s):  
Shelendra Kumar Jain ◽  
Nishtha Kesswani
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Data Access ◽  
Privacy Preserving ◽  
Sensor Nodes ◽  
Sensitive Information ◽  
Time Data ◽  
Sensitive Data ◽  
Data Store ◽  
Collection Data

Many emerging fields are adopting Internet of Things technologies to incorporate smartness in respective areas. Several IoT based application area produces large volumes of real time data. Data aggregated through sensor nodes may contain highly sensitive information. An effective and successful IoT system must protect sensitive data from revealing to unauthorized persons. In this article, the authors present an efficient privacy-preserving mechanism called Internet of Things privacy (IoTp). The research simulates and analyzes the effectiveness of the proposed data aggregation and data access mechanism for a typical IoT system. Proposed IoTp scheme ensures privacy at data collection, data store and data access phases of the IoT system. The authors have compared proposed work with existing model. Results show that IoTp scheme is efficient and lightweight mechanism for data collection and data access. It is suitable for the resource constrained IoT ecosystems.

IoTP an Efficient Privacy Preserving Scheme for Internet of Things Environment

2021 ◽  
pp. 492-521
Author(s):  
Shelendra Kumar Jain ◽  
Nishtha Kesswani
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Data Access ◽  
Privacy Preserving ◽  
Sensor Nodes ◽  
Sensitive Information ◽  
Time Data ◽  
Sensitive Data ◽  
Data Store ◽  
Collection Data

Many emerging fields are adopting Internet of Things technologies to incorporate smartness in respective areas. Several IoT based application area produces large volumes of real time data. Data aggregated through sensor nodes may contain highly sensitive information. An effective and successful IoT system must protect sensitive data from revealing to unauthorized persons. In this article, the authors present an efficient privacy-preserving mechanism called Internet of Things privacy (IoTp). The research simulates and analyzes the effectiveness of the proposed data aggregation and data access mechanism for a typical IoT system. Proposed IoTp scheme ensures privacy at data collection, data store and data access phases of the IoT system. The authors have compared proposed work with existing model. Results show that IoTp scheme is efficient and lightweight mechanism for data collection and data access. It is suitable for the resource constrained IoT ecosystems.

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