scholarly journals Age Monitoring and Fault Detection using Iot

The Internet of Things (IoT) has a monumental development in recent trends of commercial, environmental, and medical applications. The motors are considered the most important device in industries as of today. Hence, it is necessary to detect the defects of the motor and to increase the attention of defect detection by using different kinds of technologies like IoT. The advantages of a motor is that it is a simple rotor construction resulting in low value, ruggedness, and has low maintenance needs. Here, we present a condition observation with fault detection system for motor supported Internet of Things (IoT) for safe and economic electronic communication in industrial fields and we measure the aging of the motor by this system. To develop a motor observation system for detecting the defects and to calculate the aging (i.e) Lifespan Prediction of the motors is the key concept of this project

2021 ◽  
Vol 21 (3) ◽  
pp. 1-22
Author(s):  
Celestine Iwendi ◽  
Saif Ur Rehman ◽  
Abdul Rehman Javed ◽  
Suleman Khan ◽  
Gautam Srivastava

In this digital age, human dependency on technology in various fields has been increasing tremendously. Torrential amounts of different electronic products are being manufactured daily for everyday use. With this advancement in the world of Internet technology, cybersecurity of software and hardware systems are now prerequisites for major business’ operations. Every technology on the market has multiple vulnerabilities that are exploited by hackers and cyber-criminals daily to manipulate data sometimes for malicious purposes. In any system, the Intrusion Detection System (IDS) is a fundamental component for ensuring the security of devices from digital attacks. Recognition of new developing digital threats is getting harder for existing IDS. Furthermore, advanced frameworks are required for IDS to function both efficiently and effectively. The commonly observed cyber-attacks in the business domain include minor attacks used for stealing private data. This article presents a deep learning methodology for detecting cyber-attacks on the Internet of Things using a Long Short Term Networks classifier. Our extensive experimental testing show an Accuracy of 99.09%, F1-score of 99.46%, and Recall of 99.51%, respectively. A detailed metric representing our results in tabular form was used to compare how our model was better than other state-of-the-art models in detecting cyber-attacks with proficiency.


Author(s):  
Syed Husain ◽  
Athul Prasad ◽  
Andreas Kunz ◽  
Apostolos Papageorgiou ◽  
JaeSeung Song

Author(s):  
Hwa Lee

With the Americans with Disabilities Act (ADA), the past two decades have seen a proliferation of Assistive Technology (AT) and its enabling impact on the lives of people with disabilities in the areas of accessing information, communication, and daily living activities. Due to recent emergence of the Internet of Things (IoT), the fields of rehabilitation, healthcare, and education are challenged to incorporate the IoT applications into current AT services. While IoT applications continue to be developed and integrated into AT, they are still at a primitive stage where clear guidelines are yet to be developed and benefits are yet to be substantiated to ensure the quality of lives of people with disabilities. This chapter provides an overview of the IoT and AT integrated applications based on the building blocks of the IoT, along with recent trends and issues relevant to accessing technology for people with disabilities.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1977 ◽  
Author(s):  
Geethapriya Thamilarasu ◽  
Shiven Chawla

Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices, applications, and communication networks are becoming increasingly connected and integrated. When attacks on IoT networks go undetected for longer periods, it affects availability of critical systems for end users, increases the number of data breaches and identity theft, drives up the costs and impacts the revenue. It is imperative to detect attacks on IoT systems in near real time to provide effective security and defense. In this paper, we develop an intelligent intrusion-detection system tailored to the IoT environment. Specifically, we use a deep-learning algorithm to detect malicious traffic in IoT networks. The detection solution provides security as a service and facilitates interoperability between various network communication protocols used in IoT. We evaluate our proposed detection framework using both real-network traces for providing a proof of concept, and using simulation for providing evidence of its scalability. Our experimental results confirm that the proposed intrusion-detection system can detect real-world intrusions effectively.


2013 ◽  
Vol 8 (12) ◽  
Author(s):  
Liang Hu ◽  
Jingyan Jiang ◽  
Jin Zhou ◽  
Kuo Zhao ◽  
Liang Chen ◽  
...  

2021 ◽  
pp. 7-19
Author(s):  
Hayder A. Naser ◽  
Alaa Thaer Lateef ◽  
Falah A. Bida ◽  
Mohammed Zorah

Internet of nano things (IoNT) is a new and modern part of the internet of things (IoT). Applications that operate in the field of nano scale show a new advantage in communication networks. IoNT opened the door to many applications in various fields with new features derived from the advantages of nanotechnology. In this work, a description of the IoNT during 2015-2021 was achieved, including taxonomy, architecture, motives, applications and challenges, in addition to recommendations. The architecture of the IoNT and the most important technologies used in Nano communication networks have been identified, with an indication of the advantages of each. This study, we hope, will make a contribution to this field of science, thus contributing to providing assistance to researchers in this emerging field and covering the challenges they face in this way. That would permit communication between nano-devices to be conventional, making these calibrations to be implemented in various IoNT applications. Until the IoNT system is designed without any problems in the near future, which if achieved, will provide great services, especially in medical applications and other applications.


2021 ◽  
Vol 9 (1) ◽  
pp. 39-46
Author(s):  
Indrawata Wardhana ◽  
◽  
Vandri Ahmad Isnaini ◽  
Rahmi Putri Wirman ◽  
Rita Syafitri ◽  
...  

The stable temperature in the laboratories is the major requirement for ensuring safety at work. The changes in the temperature which are oftentimes caused by precisely unrecognized factor may provide hazardous impacts on humans who are working in such place. Similar researches were conducted; however, they did not use NodeMCU as a microcontroller and MQTT protocol. This study tried to build a real-time temperature observation system using MQTT protocol based on the Internet of Things which has a fast delivery speed message. The temperature and humidity were captured by using DHT22 sensor that were then stored in database for one month. The result showed that the temperature change of the laboratory could be rapidly detected through the tests process on a certain heat-produced device. It could be analyzed periodically using the real-time application so that the impact of temperature rise could be detected quickly.


A Smart Cities focuses on the way we live. Smart governments are also acknowledged as augmentations of electronic governments based on the Internet of Things (IoT). There are many existing challenges in the environment such as, research in gadgets, framework and programming etc. Particularly, the Smart Cities are facing difficulties with IoT frameworks, systems administration, independent registration, wearable sensors, gadgets and systematization of aggregates including human beings as well as programming specialists. This paper incorporates role of Smart Cities in various domains such as smart infrastructure, smart building, smart security and so on. Moreover, the work depicts the IoT technologies for Smart Cities and the primary components along with the features of Smart Cities. This paper is based on technologies for Smart Cities which will benefit citizens by facilitating a platform for integrating all the resources and prompt communication of information. Furthermore, merits, demerits and main challenges of Smart Cities are discussed.


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