scholarly journals Applied use of the Arduino NANO as Wi-Fi of the guided movable device

2020 ◽  
Vol 8 (2) ◽  
pp. 41-48
Author(s):  
V. Lisenko ◽  
◽  
A. Vaskovets ◽  
T. Dubovick ◽  
◽  
...  
Keyword(s):  
Mobile Application ◽  
Smart Home ◽  
Battery Life ◽  
Software Environment ◽  
Security Systems ◽  
Training Project ◽  
Asynchronous Motors ◽  
Stepper Motors ◽  
Increasing Demand ◽  
Main Components

The development of a Wi-Fi-controlled video machine using Arduino NANO is described. The connection diagram of Arduino NANO and additional modules is presented. The relevance of the topic under development is emphasized by the increasing demand for the use of remotely controlled video devices. A Wi-Fi-controlled video device (machine) was developed, which is powered by a battery that is connected to the charge controller module with microUSB. Possible battery life is 5-6 hours without recharging. In the process of developing a Wi-Fi-controlled video machine, a large amount of work was carried out, including adding the necessary libraries for the correct writing of programs and determining the necessary conditions for the functioning of the device. Program (sketch) for controlling the engines of the machine is also developed; the main components for creating the device are identified. For the mobile camera application to work, it is necessary to download the JoyLite application from the AppStore or PlayMarket; after which the smartphone “connects” to the Wi-Fi network and the SANNCE HD 720p camera. In the software part of the development of a Wi-Ficontrolled video machine using Arduino NANO in the Arduino IDE software environment, the program (sketch) was developed for the SANNCE HD 720p “JoyLite” mobile application. This program configures the signals from the stepper motors of the camera to asynchronous motors of the machine, as well as adjusting the speed of the wheels. During the tests of the device, it turned out that the Wi-Fi-controlled video machine has a sensitivity to speed impacts, namely, the speed should exceed 255 r./s. The developed Wi-Ficontrolled video machine can be used in various fields. For example, the device can be used in systems such as «Smart Home» or in security systems, or be implemented as a training project in the course of robotics. Keywords: Wi-Fi, microcontroller, Arduino NANO, video device, remotely controlled device.

Development of A Prototype of An IoT Based Smart Home with Security System Flutter Mobile

2019 ◽  
Vol 1 (2) ◽  
pp. 34-41
Author(s):  
Nur Asyiqin Amir Hamzah ◽  
Muhammad Radzi Abu Saad ◽  
Wan Zakiah Wan Ismai ◽  
Thangavel Bhunaeswari ◽  
Noor Ziela Abd Rahman
Keyword(s):  
Mobile Application ◽  
Smart Home ◽  
Development Process ◽  
Security System ◽  
Raspberry Pi ◽  
Security Systems ◽  
Daily Lives ◽  
Safe Environment ◽  
Human Contact ◽  
System Prototype

This paper describes the development process of an IoT based Smart Home Security system prototype. The development of the prototype includes research on IoT based security systems and smart home systems. The aim of the study is to demonstrate an IoT smart home system that can benefit the user and at the same time, create a safe environment for the society. The system designed is an IoT based smart home system security equipped with a series of sensors which consist of temperature, light, flood and motion all controlled by an Arduino UNO which acts as a device manager then connected to a Raspberry PI microcomputer. The Raspberry PI acts as the command centre and connects the system to the Internet. The reason why the system uses both Raspberry-PI and Arduino is for simplicity, efficiency and cost-effectiveness. The development successfully shows that it is possible to enhance the daily lives by efficiently reducing human contact and increasing security for a home which lead to reduced crime rates. Besides that ,the utilization of an open source Flutter mobile application platform is proven to be as good as other paid platforms

Development of A Prototype of An IoT Based Smart Home with Security System Flutter Mobile

2019 ◽  
Vol 1 (2) ◽  
pp. 34-41
Author(s):  
Nur Asyiqin Bt. Amir Hamzah ◽  
Muhammad Radzi B. Abu Saad ◽  
Wan Zakiah Bt. Wan Ismail ◽  
Thangavel Bhunaeswari ◽  
Noor Ziela Bt. Abd Rahman
Keyword(s):  
Mobile Application ◽  
Smart Home ◽  
Development Process ◽  
Security System ◽  
Raspberry Pi ◽  
Security Systems ◽  
Daily Lives ◽  
Safe Environment ◽  
Human Contact ◽  
System Prototype

This paper describes the development process of an IoT based Smart Home Security system prototype. The development of the prototype includes research on IoT based security systems and smart home systems. The aim of the study is to demonstrate an IoT smart home system that can benefit the user and at the same time, create a safe environment for the society. The system designed is an IoT based smart home system security equipped with a series of sensors which consist of temperature, light, flood and motion all controlled by an Arduino UNO which acts as a device manager then connected to a Raspberry PI microcomputer. The Raspberry PI acts as the command centre and connects the system to the Internet. The reason why the system uses both Raspberry-PI and Arduino is for simplicity, efficiency and cost-effectiveness. The development successfully shows that it is possible to enhance the daily lives by efficiently reducing human contact and increasing security for a home which lead to reduced crime rates. Besides that, the utilization of an open source Flutter mobile application platform is proven to be as good as other paid platforms.

scholarly journals Spectrum Based Power Management for Congested IoT Networks

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2681
Author(s):  
Kedir Mamo Besher ◽  
Juan Ivan Nieto-Hipolito ◽  
Raymundo Buenrostro-Mariscal ◽  
Mohammed Zamshed Ali
Keyword(s):  
Power Management ◽  
Network Performance ◽  
Channel Allocation ◽  
Battery Life ◽  
Packet Routing ◽  
Data Packets ◽  
Increasing Demand ◽  
Iot Devices ◽  
Set Up

With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.

Visibility and security in the smart home

2021 ◽  
pp. 135485652110300
Author(s):  
Justine Humphry ◽  
Chris Chesher
Keyword(s):  
Cultural History ◽  
Cultural Change ◽  
Smart Home ◽  
Methodological Approach ◽  
Cultural Analysis ◽  
Security Systems ◽  
The Uncanny ◽  
A Site ◽  
Over Time

Smart home, media and security systems intervene in the territory and boundaries of the home in a variety of ways. Among these are the capacity to watch the home from afar, and to record these observations over time, as well as using the home as a site of performance for those on the outside. In this paper, we map the meanings of the smart home and explore the tensions between security and visibility, adopting a cultural history and cultural analysis methodological approach. We make a contribution to the literature on the smart home, highlighting its connection to longer trajectories of media and cultural change, and to understanding the contemporary formations of technologised surveillance, with attention to practices that emerged in response to COVID-19. We focus on two aspects of our model of domestic smartification: Ludics (devices and systems for play or entertainment) and exteriorities (security and communication interfaces that remotely monitor and expose the home). We focus on these aspects relating them to ideas of haunting and the uncanny to explore the implications of making what was previously hidden visible and manipulable to others.

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 The Online DQM of BESIII

2019 ◽  
Vol 214 ◽  
pp. 01027
Author(s):  
Xiaobin Ji ◽  
Yanjia Xiao ◽  
Jiada Lu ◽  
Fei Li
Keyword(s):  
Data Quality ◽  
General Purpose ◽  
Quality Monitoring ◽  
Software Environment ◽  
Online Data ◽  
Electron Positron ◽  
Reconstruction Software ◽  
Main Components ◽  
Positron Collisions ◽  
Beijing China

The BESIII is a general-purpose experiment for studying electron-positron collisions at BEPCII which is located at IHEP, Beijing, China. It works in the τ-charm region mainly. Several world’s largest samples in this region had been collected. The BESIII DQM is a lightweight online data quality monitoring (DQM) solution at BESIII. It uses the full offline reconstruction software to reconstruct a part of data for real-time monitoring the data quality. The document gives an overview of the BESIII DQM system, including the framework, main components and data flow. The DQM system separates online DAQ and offline software environment as much as possible and is easy to expand.

scholarly journals Class-C Linearized Amplifier for Portable Ultrasound Instruments

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 898 ◽  
Author(s):  
Hojong Choi
Keyword(s):  
Power Consumption ◽  
Output Voltage ◽  
Signal Amplitude ◽  
Piezoelectric Transducers ◽  
Battery Life ◽  
Potential Candidate ◽  
Portable Ultrasound ◽  
Dc Power ◽  
Class C ◽  
Main Components

Transistor linearizer networks are proposed to increase the transmitted output voltage amplitudes of class-C amplifiers, thus, increasing the sensitivity of the echo signals of piezoelectric transducers, which are the main components in portable ultrasound instruments. For such instruments, class-C amplifiers could be among the most efficient amplifier schemes because, compared with a linear amplifier such as a class-A amplifier, they could critically reduce direct current (DC) power consumption, thus, increasing the battery life of the instruments. However, the reduced output voltage amplitudes of class-C amplifiers could deteriorate the sensitivity of the echo signals, thereby affecting the instrument performance. Therefore, a class-C linearized amplifier was developed. To verify the capability of the class-C linearized amplifier, typical pulse-echo responses using the focused piezoelectric transducers were tested. The echo signal amplitude generated by the piezoelectric transducers when using the class-C linearized amplifier was improved (1.29 Vp-p) compared with that when using the class-C amplifier alone (0.56 Vp-p). Therefore, the class-C linearized amplifier could be a potential candidate to increase the sensitivity of echo signals while reducing the DC power consumption for portable ultrasound instruments.

scholarly journals Semantic Knowledge Base in Support of Activity Recognition in Smart Home Environments

2018 ◽  
Vol 7 (4.27) ◽  
pp. 67
Author(s):  
Abdul Syafiq Abdull Sukor ◽  
Ammar Zakaria ◽  
Norasmadi Abdul Rahim ◽  
Rossi Setchi
Keyword(s):  
Knowledge Base ◽  
Activity Recognition ◽  
Smart Home ◽  
Semantic Knowledge ◽  
Experimental Results ◽  
Semantic Knowledge Base ◽  
Main Components ◽  
Use Of Knowledge ◽  
Smart Home Environments ◽  
Home Systems

Activity recognition plays a major role in smart home technologies in providing services to users. One of the approaches to identify activity is through the use of knowledge-driven reasoning. This paper presents a framework of semantic activity recognition, which is used to support smart home systems to identify users’ activities based on the existing context. The framework consists of two main components: a semantic knowledge base and an activity recognition module. The knowledge base is represented using ontology and it is used to provide a semantic understanding of the environment in order to classify users’ patterns of activities. Experimental results show that the proposed approach can support the classification process and accurately infer users’ activities with the accuracy of 90.9%.  

scholarly journals Using the QR code as a means of automating the process of accounting for attendance at educational classes

2021 ◽  
Vol 2131 (2) ◽  
pp. 022077
Author(s):  
M V Stupina ◽  
K V Anistratenko ◽  
L O Pazina
Keyword(s):  
Data Model ◽  
Mobile Application ◽  
Web Application ◽  
Academic Disciplines ◽  
Qr Code ◽  
Electronic Journal ◽  
Qr Codes ◽  
It Industry ◽  
Main Components ◽  
Conceptual Data

Abstract Nowadays, the technology of QR codes is one of the promising areas of development of the IT industry, which has found application in various industries, business areas, medicine, etc. In the field of education, QR codes are used to increase the interactivity of classes, provide additional multimedia content, conduct surveys and other control activities. This work presents the key features of QR codes, their architecture and main components. The use of QR codes in automating the process of accounting for students’ attendance is considered. A web application has been developed for teachers, the interface of which allows them to generate QR codes for academic disciplines. A mobile application with an integrated QR-code scanner was developed for students. All attendance data is recorded in the teacher’s electronic attendance register. A conceptual data model of the system is presented, as well as the main algorithms of its operation related to the generation and scanning of QR codes. The practice of using the developed system demonstrates the effectiveness of monitoring attendance data by promptly entering it into an electronic journal.

Sign in / Sign up

Export Citation Format

Share Document