Research on the Intelligent Monitoring System of Indoor Electrical Safety Based on the Internet of Things

2014 ◽  
Vol 986-987 ◽  
pp. 1569-1573 ◽  
Author(s):  
Chen Jiang ◽  
Lei Zhou ◽  
Xiao Ju Liu ◽  
Xiao Liang Xu

This paper presents a set of schemes of centralized indoor electrical safety intelligent monitoring systems which are more intelligent, real-time and reliable based on the internet technology of things. Integrated use of wireless sensor networks, embedded microprocessor technology is realized. Hall sensor is used to collect the real-time current on the power grid. As well, This system utilizes the method of the subspace pattern recognition to identify electrical appliances and eliminate some safety risks of the domestic distribution network through the fault arc detection.

2013 ◽  
Vol 427-429 ◽  
pp. 1028-1031
Author(s):  
Ling Yun Zhang ◽  
Hua Zhang ◽  
Peng Fei Zhang ◽  
Qiu Hong Yuan

The edible fungus industry has relatively high output rate and high added value. In the production of edible fungus, the environmental factors have great impacts. This paper studies the intelligent monitoring system for producing environment of the factory-farmed edible fungus based on the internet of things and aiming at online real-time management. The monitoring system can realize real-time surveillance and visual operation during production by dynamically regulating the environmental factors needed for growing edible fungus and early warning of the environmental parameters fluctuation with traceable history records at any time. When parameters like temperature and humidity are beyond reasonable range, warning will be sent via text messages and equipments such as air conditioners and warming devices will be automatically adjusted for on and off so as to raise management level, increase the output, improve the quality and lower the risks.


2013 ◽  
Vol 846-847 ◽  
pp. 1881-1884
Author(s):  
Hong Yu He

The Internet of things is a new kind of application technology. It is the extension and expansion of Internet technology. The real-time information theory in the Internet of things promotes the development of China's industry, agriculture and military aspects. Therefore, we should strengthen the study of Internet of things real-time information access problems. This paper introduces the Internet of things, the Internet of things real-time information meaning and basic characteristic, and further discusses the related application of the Internet of things real-time information in detail. It researches the advantages and disadvantages of different access path of the Internet of things real-time information, and tries to explore a way which is conducive to the further development of the Internet of things real-time information theory.


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):  
H. B. Chi ◽  
M. F. N. Tajuddin ◽  
N. H. Ghazali ◽  
A. Azmi ◽  
M. U. Maaz

<span>This paper presents a low-cost PV current-voltage or <em>I-V</em> curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the <em>I-V</em> tracer, which is able to cope with rapidly changing irradiation conditions. The <em>I-V</em> tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the <em>I-V</em> curve tracer is evaluated and verified using simulation and experimental tests.</span>


Author(s):  
Ali Osman Serdar Citak

The history of the development of the Internet of Things (IoT) covers the last twenty years. Despite the short of time, the concept and implementation of the Internet of Things have widely spread all over the world. The impetus of the dissemination of the concept has exponential speed. In the near future, billions of smart sensors and devices will interact with one another without human intervention. The early impact of the Internet of Things has been observed and discussed in the areas of technology, transportation, production, and marketing. The prospective effect of the Internet of Things on the finance sector has been discussed recently. In this study, the development of the concept of the Internet of Things and it is effect on the finance sector and specifically the insurance and banking sectors and future expectations have been evaluated.


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