scholarly journals DESIGN AND IMPLEMENTATION OF A SMART HOME GAS DETECTION BASED ON MOBILE NETWORK SYSTEM

2021 ◽  
Vol 25 (02) ◽  
pp. 9-16
Author(s):  
Ammar F. Abbas ◽  
◽  
Mahmood Z. Abdullah ◽  
Keyword(s):  
Gas Sensor ◽  
Smart Home ◽  
User Behavior ◽  
Technological Development ◽  
Low Cost ◽  
Rapid Development ◽  
Mobile Network ◽  
Network System ◽  
Gas Leak ◽  
Alert Message

The rapid development of smart home and deep learning attract many types of research to meet the needs of the homeowner that make the right decisions based on preset settings or based on user behavior in the smart home. And because some gases cause air pollution, affect human health, cause lung cancer, breathing problems. and cause a fire as well. Many gases in our home can pose many dangers. One of the risks of using LPG is leakage in cylinders, gas installations, stoves, or LPG heaters. This paper focused on using technological development to alert about a gas leak inside the home to preserve the general health of people. The proposed system, a gas sensor is used to measure the value of gas in the atmosphere. This part is an important part of the smart home, which is taking precautionary measures by using the gas sensor and controller, in addition to using a mobile network system to send an alert message to the user about gas leakage from the mentioned sources. The proposed system is characterized by its low cost and allows the homeowner to monitor the gas leak inside the home from outside.

scholarly journals Designing An IOT-Based Smart Home Control Using Blink Application and ESP8266 Wi-Fi Module

2021 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Rini Suwartika ◽  
Den Restu Singgih
Keyword(s):  
Smart Home ◽  
Room Temperature ◽  
Human Life ◽  
Rapid Development ◽  
Leak Detector ◽  
Intelligent Home ◽  
Gas Leak ◽  
Temperature Detector ◽  
Home Technology ◽  
Smart Home Technology

The very rapid development of technology has a significant impact on human life today. The aids of facilitating human work are starting to be in great demand. Automation of tools is thought to shorten the time, be more accessible and be faster. Smart Home is one's technologies applications needed today. This study aims to designs an IoT-based innovative home prototype. The resulting intelligent home prototype uses the DHT11 sensor at a room temperature detector, the MQ-2 the sensor as a gas leak detector, an ultrasonic sensor as the object detector, the MC38 magnet sensor as door security, a relay as ON or OFF the lamp switch, buzzer as an alarm, and using a microcontroller. A nodemcu with a Wi-Fi module ESP8266 controlled via Blynk App. Research and Development (R & D) method were research method used. It is hoped that the IoT-based Smart Home technology will be provided convenience to its users in everyday life.

scholarly journals Designing and Implementing Applications of Smart Home Appliances

2018 ◽  
Vol 12 (12) ◽  
pp. 8 ◽  
Author(s):  
Hamzah M. Marhoon ◽  
Mohammed I. Mahdi ◽  
Ehab Dh. Hussein ◽  
Ahmed R. Ibrahim
Keyword(s):  
Smart Home ◽  
Low Cost ◽  
The Elderly ◽  
Security System ◽  
Automation System ◽  
Prototype System ◽  
Ip Address ◽  
Gas Leak ◽  
Different Types ◽  
Smart Home Appliances

Smart house or automation house and security system has been developed in the recent years because its importance to provides the energy saving, comfort for the elderly and security to the house owners. This paper proposed to design a low cost and flexible home prototype system for controlling and monitoring. The proposed design based on two parts; first part, automation system was building by using Arduino UNO microcontroller which responsible on reading and processing the different types of sensor values that's used in the design such as gas leak, flame and temperature as well as the remote control used in automatic garage door. The second part is security system and outdoor lighting the NodeMCU will be used to monitor the state of the house security from anywhere through a special GUI was programming by HTML language that allows the user to monitor the house security as well as extinguishing and operating the outdoor light via specific IP address granted by the NodeMCU.

scholarly journals Utilization Of 5G Networks in Current Scenario

2021 ◽  
Vol 9 (12) ◽  
pp. 1064-1070
Author(s):  
Prince Breja
Keyword(s):  
Communication Network ◽  
Data Transfer ◽  
Rapid Development ◽  
Mobile Network ◽  
Electromagnetic Spectrum ◽  
Network System ◽  
Wireless Communication Network ◽  
Fifth Generation ◽  
Generation Network ◽  
Current Scenario

Abstract: The fifth-generation (5G) mobile network system is the next huge thing in the world of mobile communication. With the rapid development of wireless communication network, It is expected that a fifth-generation network system will provide seamlessly higher data transfer speeds and various capabilities. 5G has evolved in such a way that it can be beneficial for each and every individual who is using it by giving them an ultimate experience. In this article we give a brief overview on working of the electromagnetic spectrum of 5G and its various applications and at the end, the overall opportunities arise in the 5G network system on the basis of their applications. Keywords: 5G Communication, Network, working, speed, Application, Evolution, MIMO,3GPP

scholarly journals Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1957 ◽  
Author(s):  
Jordi Palacín ◽  
David Martínez ◽  
Eduard Clotet ◽  
Tomàs Pallejà ◽  
Javier Burgués ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Mobile Robot ◽  
Gas Sensor ◽  
Gas Sensors ◽  
Sensor Array ◽  
Low Cost ◽  
Gas Sensor Array ◽  
Gas Leak ◽  
Detection Capabilities ◽  
Personal Robot

This paper proposes the application of a low-cost gas sensor array in an assistant personal robot (APR) in order to extend the capabilities of the mobile robot as an early gas leak detector for safety purposes. The gas sensor array is composed of 16 low-cost metal-oxide (MOX) gas sensors, which are continuously in operation. The mobile robot was modified to keep the gas sensor array always switched on, even in the case of battery recharge. The gas sensor array provides 16 individual gas measurements and one output that is a cumulative summary of all measurements, used as an overall indicator of a gas concentration change. The results of preliminary experiments were used to train a partial least squares discriminant analysis (PLS-DA) classifier with air, ethanol, and acetone as output classes. Then, the mobile robot gas leak detection capabilities were experimentally evaluated in a public facility, by forcing the evaporation of (1) ethanol, (2) acetone, and (3) ethanol and acetone at different locations. The positive results obtained in different operation conditions over the course of one month confirmed the early detection capabilities of the proposed mobile system. For example, the APR was able to detect a gas leak produced inside a closed room from the external corridor due to small leakages under the door induced by the forced ventilation system of the building.

scholarly journals Monitoring the Health and Residence Conditions of Elderly People, Using LoRa and the Things Network

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1729
Author(s):  
José Paulo Lousado ◽  
Ivan Miguel Pires ◽  
Eftim Zdravevski ◽  
Sandra Antunes
Keyword(s):  
Low Cost ◽  
Rapid Development ◽  
Mobile Network ◽  
The Elderly ◽  
Network Coverage ◽  
Security Forces ◽  
Physical Isolation ◽  
System Prototype

The rapid development and widespread use of information and telecommunication technologies do not mitigate, in many situations, information exclusion, nor the physical isolation of people—mainly that of the elderly living in remote locations, whose mobile network coverage is deficient or non-existent, preventing them from accessing health care, be it routine follow-up procedures or emergencies. Addressing this, we raise the question that guides our study: how can we monitor the elderly’s residence and health conditions, detect falls, and track their movement in the vicinity of their homes in a non-intrusive manner? To answer this question, we present a system prototype that uses affordable, low-cost, and low-energy equipment with media and data processing, supported by LoRa (Long Range) and ESP32 microcontrollers, coupling several sensors. As a result, it is possible to monitor sensors that predict and detect falls or other risk events for the user, e.g., fire, with authorized persons and entities, family members, civil protection, and security forces accessing the gathered data, assuring their security. We conclude that the system could decisively improve people’s quality of life, particularly those of the elderly who live in remote places with greater vulnerability.

A Low-Cost, IP-Based Mobile Network Emulator (MNE)

2003 ◽  
Author(s):  
Joseph P. Macker ◽  
William Chao ◽  
Jeffrey W. Weston
Keyword(s):  
Low Cost ◽  
Mobile Network ◽  
Network Emulator

Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan
Keyword(s):  
Resource Allocation ◽  
Behavior Analysis ◽  
User Behavior ◽  
Low Cost ◽  
Cloud Services ◽  
Online Auction ◽  
Analysis Model ◽  
Efficient Resource ◽  
User Centric ◽  
Cloud Resources

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

scholarly journals A Multi-Loop Vehicle-Counting Method under Gray Mode and RGB Mode

2021 ◽  
Vol 11 (15) ◽  
pp. 6831
Author(s):  
Yue Chen ◽  
Jian Lu
Keyword(s):  
Intelligent Transportation Systems ◽  
High Efficiency ◽  
Road Traffic ◽  
Low Cost ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Counting Method ◽  
Moving Vehicle ◽  
Available Information

With the rapid development of road traffic, real-time vehicle counting is very important in the construction of intelligent transportation systems (ITSs). Compared with traditional technologies, the video-based method for vehicle counting shows great importance and huge advantages in its low cost, high efficiency, and flexibility. However, many methods find difficulty in balancing the accuracy and complexity of the algorithm. For example, compared with traditional and simple methods, deep learning methods may achieve higher precision, but they also greatly increase the complexity of the algorithm. In addition to that, most of the methods only work under one mode of color, which is a waste of available information. Considering the above, a multi-loop vehicle-counting method under gray mode and RGB mode was proposed in this paper. Under gray and RGB modes, the moving vehicle can be detected more completely; with the help of multiple loops, vehicle counting could better deal with different influencing factors, such as driving behavior, traffic environment, shooting angle, etc. The experimental results show that the proposed method is able to count vehicles with more than 98.5% accuracy while dealing with different road scenes.

The Design and Implementation of ECC High-Speed Encryption Engine Based on FPGA

2012 ◽  
Vol 459 ◽  
pp. 544-548 ◽  
Author(s):  
Wei Liang ◽  
Jian Bo Xu ◽  
Wei Hong Huang ◽  
Li Peng
Keyword(s):  
Data Transmission ◽  
High Speed ◽  
Lower Cost ◽  
Low Cost ◽  
Rapid Development ◽  
Security Technology ◽  
Multiplication Algorithm ◽  
Secure Data Transmission ◽  
And Performance ◽  
Computation Speed

Network security technology ensures secure data transmission in network. Meanwhile, it brings extra overhead of security system in terms of cost and performance, which seriously affects the rapid development of existing high-speed encryption systems. The existing encryption technology cannot meet the demand of high security, low cost and high real-time. For solving above problems, an ECC encryption engine architecture based on scalable public key cipher and a high-speed configurable multiplication algorithm are designed. The algorithm was tested on FPGA platform and the experiment results show that the system has better computation speed and lower cost overhead. By comparing with other systems, our system has benefits in terms of hardware overhead and encryption time ratio

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