scholarly journals Data Analysis as a Service: An Infrastructure for Storing and Analyzing the Internet of Things

2015 ◽  
pp. 161-169 ◽  
Author(s):  
Martin Lehmann ◽  
Andreas Biørn-Hansen ◽  
Gheorghita Ghinea ◽  
Tor-Morten Grønli ◽  
Muhammad Younas
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things

Machine learning algorithms for smart data analysis in the Internet of things: an overview

2021 ◽  
pp. 307-327
Author(s):  
Mohammed H. Alsharif ◽  
Anabi Hilary Kelechi ◽  
Imran Khan ◽  
Mahmoud A. Albreem ◽  
Abu Jahid ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Internet Of Things ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Smart Data ◽  
The Internet Of Things

scholarly journals IoT-Fog-Cloud system architecture for big data analysis and cybersecurity systems: a review of fog computing, the introduction to the Internet of Things audit

2020 ◽  
Author(s):  
D. R. Kolisnyk ◽  
◽  
K. S. Misevych ◽  
S. V. Kovalenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
System Architecture ◽  
Fog Computing ◽  
Big Data Analysis ◽  
Future Research ◽  
The Internet ◽  
Security Issues ◽  
The Internet Of Things

The article considers the issues of system architecture IoT-Fog-Cloud, considers the interaction between the three levels of IoT, Fog and Cloud for the effective implementation of programs for big data analysis and cybersecurity. The article also discusses security issues, solutions and directions for future research in the field of the Internet of Things and nebulous computing.

scholarly journals Information Security Terminal Architecture of Power Transportation Mobile Internet of Things Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xianzhi Tang ◽  
Chunyan Ding
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Security ◽  
Internet Of Things ◽  
Power System ◽  
Big Data Analysis ◽  
The Internet ◽  
Mobile Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The progress of the social economy and the rapid development of the power field have created more favorable conditions for the construction of my country’s power grid. In this network age, how to further realize the connection between the power system and the Internet of Things is the key content of many scholars’ research. In the Internet of Things environment, there have been many excellent results in the collection, storage, and management of electric power big data, but the problem of information security has not been completely solved. Based on big data analysis and Internet of Things technology, this paper studies the architecture design of power information security terminals. In view of the diverse types of power grid mobile information and the large amount of data, this paper designs a power transportation mobile information security management system structure, which improves the effective management of power data by the system through big data, smart sensors, and wireless communication technology. According to the experiment, the power information security terminal constructed in this paper can effectively reduce communication resources and save communication costs in the process of aggregating multidimensional data. In the user satisfaction survey, residents’ satisfaction with the convenience and safety of the intelligent power system is also as high as 9.312 and 9.233. On the whole, the application of big data and Internet of Things technology to the construction of power information security terminals can indeed improve the service efficiency of power companies under the premise of ensuring safety and allow users to have a better experience.

scholarly journals Predicting Heart Diseases from Large Scale IoT Data Using a Map-Reduce Paradigm

2020 ◽  
Vol 10 (1) ◽  
pp. 422-430
Author(s):  
Faris Mohammad Abd ◽  
Mehdi Ebady Manaa
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
Heart Diseases ◽  
Large Data ◽  
Machine Learning Algorithms ◽  
Healthcare Sector ◽  
Map Reduce ◽  
The Internet ◽  
The Internet Of Things

AbstractOver the last few years, the huge amount of data represented a major obstacle to data analysis. Big data implies that the volume of data undergoes a faster progress than computational speeds, thereby demanding a larger data storage capacity. The Internet of Things (IoT) is a main source of data that is closely related to big data, as the former extends to a variety of fields such as healthcare, entertainment, and disaster control. Despite the different advantages associated with the composition of Big Data analytics and IoT, there are a number of complex difficulties and issues involved that need to be resolved and managed to ensure an accurate data analysis. Some of these solutions include the utilization of map-reduce techniques, processing, and large data scale, particularly for the relatively less time that this method requires to process large data from the Internet of Things. Machine learning algorithms of this kind are often implemented in the healthcare sector. Medical facilities need to be advanced so that more appropriate decisions can be made in terms of patient diagnosis and treatment options. In this work, two datasets have been used: the first set, used in the prediction of heart diseases, obtained an accuracy rate of 84.5 for RF and 83 for J48, whereas the second dataset is related to weather stations (automated sensors) and obtained accuracy rates of 88.5 and 86.5 for RF and J48, respectively.

Research and Implementation of Muck Truck Regulatory System

2013 ◽  
Vol 475-476 ◽  
pp. 719-722
Author(s):  
Li Zhou
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Regulatory System ◽  
The Internet ◽  
Construction Site ◽  
3G Networks ◽  
The Internet Of Things ◽  
Embedded Intelligence

To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

scholarly journals Music Intelligent Push Play and Data Analysis System Based on 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cheng Chen ◽  
Tien-Shou Huang ◽  
Jui-Chan Huang ◽  
Chi-Hung Shih ◽  
Yun Du
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Rapid Development ◽  
Data Management System ◽  
The Internet ◽  
Dissimilarity Matrix ◽  
Network Information ◽  
Analysis System ◽  
Data Analysis System ◽  
The Internet Of Things

With the rapid development of information science today, multifunctional and intelligent applications have gradually become the focus of attention. In the data management system, the first consideration is the reliability of the data source, followed by the intelligent processing after the data are collected. Due to the upgrade of the Internet to the Internet of Things, the way of network information transmission has also become a problem that people need to think about. The transmission mode of network information services will be converted from the passive transmission of information by traditional servers to the form of actively pushing information. The application of intelligent push technology in the field of the Internet of Things is a prominent and important direction in the development of the Internet of Things. This article mainly introduces the research on the intelligent music push and data analysis system based on the 5G Internet of Things, with the intention of providing some ideas and directions for the research of the music intelligent push and play and data analysis system. This paper proposes a research method for music intelligent push playback and data analysis system based on 5G Internet of Things, including current intelligent push related technologies, music evaluation matrix, user dissimilarity matrix, and music feature similarity calculation. The experimental results in this paper show that with the increase in the number of users, the accuracy of the recommended results of the system under the Hadoop framework gradually stabilizes, eventually reaching 91.2%.

Clinical Data Analysis Using IoT Devices

2018 ◽  
pp. 136-153
Author(s):  
Govinda K.
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Clinical Data ◽  
The Internet ◽  
Personal Satisfaction ◽  
Elderly Individuals ◽  
Clinical Data Analysis ◽  
Iot Devices ◽  
Clear Idea ◽  
The Internet Of Things

The most recent couple of decades have seen a sharp rise in the number of elderly individuals. Furthermore, enquiry into this tells us that around 89% of the matured individuals are probably going to live autonomously. As the need be, giving a respectable personal satisfaction for matured individuals has turned into a genuine social test. Doctors need to have clear idea as to the health of these individuals, so they can use proper methodologies to cure them. Hence, IoT develops the idea of the internet and makes it more unavoidable. IoT permits consistent collaborations among various sorts of gadgets, for example, therapeutic sensors, observing cameras, home machines, and so on. This chapter proposes clinical data analysis using the internet of things.

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