On Internet of Things and Big Data in University Courses

2019 ◽  
pp. 1393-1406
Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe

In this paper, the authors discuss Internet of Things educational programs for universities. The authors' final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, the authors discuss Big Data issues for IoT course and explain the importance of data engineering.

Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe

In this paper, the authors discuss Internet of Things educational programs for universities. The authors' final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, the authors discuss Big Data issues for IoT course and explain the importance of data engineering.


Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.


Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe

This chapter describes proposals for organizing university programs on the internet of things (IoT) and cyber-physical systems. The final goal is to provide a structure for a basic educational course for the internet of things and related areas. This base (template) could be used both for direct training and for building other courses, including those that are more deeply specialized in selected areas. For related areas, the authors see, for example, machine-to-machine communications and data-driven cities (smart cities) development. Obviously, the internet of things skills are in high demand nowadays, and, of course, IoT models, architectures, as well as appropriate data proceedings elements should be presented in the university courses. The purpose of the described educational course is to cover information and communication technologies used in the internet of things systems and related areas. Also, the authors discuss big data and AI issues for IoT courses and highlight the importance of data engineering.


2019 ◽  
pp. 870-892
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.


Author(s):  
Jens Kohler ◽  
Thomas Specht

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).


Author(s):  
Jens Kohler ◽  
Thomas Specht

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).


2020 ◽  
Author(s):  
shariq aziz butt ◽  
Muhammad Imran Tariq

As a result, global population development and augmented demand for restricted products i.e. more effective use of resources and materials. With the new development of information and communication technologies (ICTs), which have completely changed many areas, their simultaneous use has had a damaging impact on the environment and human health. Therefore, society is moving towards a greener future: by reducing the consumption of non-renewable materials, raw materials and resources, while also plummeting energy pollution and consumption. As information technology is seen as a tool for solving ecological difficulties, the “<i>Green Internet of Things (G-IoT)</i>” is playing a green role in creating a sustainable and sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by G-IoT


2020 ◽  
Author(s):  
shariq aziz butt ◽  
Muhammad Imran Tariq

As a result, global population development and augmented demand for restricted products i.e. more effective use of resources and materials. With the new development of information and communication technologies (ICTs), which have completely changed many areas, their simultaneous use has had a damaging impact on the environment and human health. Therefore, society is moving towards a greener future: by reducing the consumption of non-renewable materials, raw materials and resources, while also plummeting energy pollution and consumption. As information technology is seen as a tool for solving ecological difficulties, the “<i>Green Internet of Things (G-IoT)</i>” is playing a green role in creating a sustainable and sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by G-IoT


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2430 ◽  
Author(s):  
Alaa Alsaig ◽  
Vangalur Alagar ◽  
Zaki Chammaa ◽  
Nematollaah Shiri

Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications.


Recent advances in information and communication technologies (ICT) have contributed to the evolution of the supply chain and logistics sector. Indeed, the analysis of massive data (Big Data) coming from smart-products makes it possible to extract enormous values for the decision-making of strategic choice: commercial or technical. But this also causes research problems because of the speed of data transmission, the huge volume, and the non-homogeneous types of data. This work provides an overview of the analysis of Big-Data (BD) from the Green Internet of Things (Green-IoT) in new Smart-Logistics. This article begins with a discussion of the needs and challenges of the Green Internet of Things (Green-IoT) and Big Data (BD) analysis in logistics. Then, major data analysis technologies are examined and discussed. In addition, this article also describes future directions in this promising area.


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