Healthcare Data Analysis in the Internet of Things Era

2019 ◽  
pp. 589-601
Author(s):  
George Tzanis
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Missing Values ◽  
Quality Of Healthcare ◽  
The Internet ◽  
Healthcare Data ◽  
Concepts Of Technology ◽  
New Challenges ◽  
The Internet Of Things

Undoubtedly the IoT is the future of technology; it can provide manifold benefits to healthcare. However, the challenges posed are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data (e.g., missing values, noise, etc.). The most popular representative of these modern tools is data mining, or the KDD process, strictly speaking. Although the KDD process has provided a lot of solutions, in many cases these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing is the modern infrastructure that can provide the means to efficiently manage big data. Both cloud computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, is very promising too. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of healthcare.

Healthcare Data Analysis in the Internet of Things Era

2018 ◽  
pp. 1984-1994 ◽  
Author(s):  
George Tzanis
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Big Data ◽  
Missing Values ◽  
The Internet ◽  
Healthcare Data ◽  
Concepts Of Technology ◽  
New Challenges ◽  
The Internet Of Things

Undoubtedly the IoT is the future of technology, which can provide manifold benefits to health care. However, the challenges posed are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data (e.g. missing values, noise, etc.). Most popular representative of these modern tools is data mining, or the KDD process, strictly speaking. Although the KDD process has provided a lot of solutions, in many cases these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing is the modern infrastructure that can provide the means to efficiently manage big data. Both cloud computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, is very promising too. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of health care.

Internet of Things and Data Science in Healthcare

2021 ◽  
pp. 1919-1932
Author(s):  
George Tzanis ◽  
Ourania-Ioanna Fotopoulou
Keyword(s):  
Data Mining ◽  
Health Care ◽  
Cloud Computing ◽  
Big Data ◽  
Data Science ◽  
Edge Computing ◽  
Healthcare Data ◽  
Concepts Of Technology ◽  
New Challenges

Undoubtedly the IoT is the future of technology, which can provide manifold benefits to health care. However, the posed challenges are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data. The most popular representative of these modern tools is data mining. Although the KDD process has provided a lot of solutions, these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing, as well as edge computing are the modern infrastructures that can provide the means to efficiently manage big data. Both cloud/edge computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, provides a great potential of applications. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of health care.

Big Data in manufacturing systems engineering – close up on a machine tool

2016 ◽  
Vol 64 (7) ◽  
Author(s):  
Christian Bauer ◽  
Zaigham-Faraz Siddiqui ◽  
Manuel Beuttler ◽  
Klaus Bauer
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Internet Of Things ◽  
Systems Engineering ◽  
Machine Tools ◽  
Manufacturing Systems ◽  
The Internet ◽  
New Approach ◽  
New Challenges ◽  
The Internet Of Things

AbstractWith the increasing connectivity of devices, the amount of data that is recorded and ready for analysis is growing correspondingly. This is also the case for shop floors in flexible sheet metal handling and production. With the growing need for flexibility in production, the availability of machine tools is imminent. This paper shows different approaches that a classical manufacturing systems company such as TRUMPF takes in applying data mining techniques to address the new challenges which come with the Internet of things. In addition to classical methods, a new approach is introduced that does not need any alteration of the machine or its interfaces.

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

Green Technologies Enabling Virtual Learning Environments

2016 ◽  
Vol 8 (4) ◽  
pp. 38-55 ◽  
Author(s):  
Rochell R. McWhorter ◽  
Julie A. Delello
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Learning Environments ◽  
Virtual Learning ◽  
Learning Opportunities ◽  
Virtual Learning Environments ◽  
The Internet ◽  
Business Professionals ◽  
The Internet Of Things ◽  
Technology Trends

The ubiquity of the Internet has created options for educators and business professionals to expand learning opportunities through virtual learning environments (VLEs). This article discusses how green technology trends and practices such as Cloud computing, 3D printing, big data, digital badges, The Internet of Things, and real-time group meetings support green initiatives by reducing time and costs, while increasing energy efficiency. Furthermore, the impact of these emerging technologies have on the environment in regards to energy, renewable resources, recycling, and e-wastes are discussed. As technology has quickly evolved into more sophisticated forms, it has opened the options for educators and business professionals to expand learning opportunities into virtual learning spaces referred to as VLEs in this article. Major technology trends discussed that are disrupting the status quo are Cloud Computing, 3D printing, Big Data, Digital Badges, the Internet of Things, and the management of manufacturing and recycling of device e-waste. Implications and Future Research Directions are given.

The Rise of Big Data, Cloud, and Internet of Things

2018 ◽  
pp. 201-222 ◽  
Author(s):  
Reema Abdulraziq ◽  
Muneer Bani Yassein ◽  
Shadi Aljawarneh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
End Users ◽  
Structured Data ◽  
The Internet ◽  
Huge Amount ◽  
Volume Velocity ◽  
The Cost ◽  
The Internet Of Things

Big data refers to the huge amount of data that is being used in commercial, industrial and economic environments. There are three types of big data; structured, unstructured and semi-structured data. When it comes to discussions on big data, three major aspects that can be considered as its main dimensions are the volume, velocity, and variety of the data. This data is collected, analysed and checked for use by the end users. Cloud computing and the Internet of Things (IoT) are used to enable this huge amount of collected data to be stored and connected to the Internet. The time and the cost are reduced by means of these technologies, and in addition, they are able to accommodate this large amount of data regardless of its size. This chapter focuses on how big data, with the emergence of cloud computing and the Internet of Things (IOT), can be used via several applications and technologies.

scholarly journals A Patent Analysis on Big Data Projects

2022 ◽  
Vol 9 (1) ◽  
pp. 1-14
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto D. R. Santibanez Gonzalez
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Academic Research ◽  
Data Driven ◽  
The Internet ◽  
Word Classes ◽  
Patent Documents ◽  
The Internet Of Things

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.

scholarly journals Security in Databases using Cloud Computing

2019 ◽  
Vol 8 (2S8) ◽  
pp. 568-570
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
The Internet ◽  
Performance Information ◽  
Web Of Things ◽  
The Internet Of Things

The initiation of the Internet of Things is the fundamental stimulus behind the current mechanical surprise. Web of things is the unavoidable aggregation of web related devices that assemble, look at and change the immense measure of colossal data at an incomparable rate. By creating and passing on sensible preprocessing frameworks, this goliath measurement of data can be transformed into performance information. The all-new IoT tremendous information development expects changes to be passed on to the present advances. The significance of preprocessing methodologies in the IoT enormous information situation has been discussed in this document and in addition to early IoT examines huge information preprocessing frameworks. Finally, a bright fresh parallel preprocessing system for IoT Big data has been suggested to transform the tough data into treasurable information so that enormous data examination of IoT performance can obtain complete recognition of this increasing growth

scholarly journals ENHANCED EDGE MODEL FOR BIG DATA IN THE INTERNET OF THINGS BASED APPLICATIONS

2019 ◽  
Vol 01 (01) ◽  
pp. 63-73 ◽  
Author(s):  
Pasumpon Pandian A
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Flow ◽  
The Internet ◽  
Network Simulator ◽  
Efficient Alternative ◽  
The Internet Of Things ◽  
Vast Range ◽  
Computing Models

The edge computing that is an efficient alternative of the cloud computing, for handling of the tasks that are time sensitive, has become has become very popular among a vast range of IOT based application especially in the industrial sides. The huge amount of information flow and the services requisition from the IOT has made the traditional cloud computing incompatible on the time of big data flow. So the paper proposes an enhanced edge model for the by incorporating the artificial intelligence along with the integration of caching to the edge for handling of the big data flow in the applications of the internet of things. The performance evaluation of the same in the network simulator 2 for enormous flow of task that are time sensitive , evinces that the proposed method has a minimized delay compared the traditional cloud computing models.

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