Student Engagement and Smart Spaces

2020 ◽  
pp. 52-70
Author(s):  
Jim Hahn
Keyword(s):  
Student Engagement ◽  
Internet Of Things ◽  
The Internet ◽  
Evidence Based ◽  
Transactional Analysis ◽  
Smart Spaces ◽  
Library Collection ◽  
Smart Building ◽  
The Internet Of Things ◽  
Computing Infrastructure

The purpose of this chapter is to provide evidence-based findings on student engagement within smart library spaces. The focus of smart libraries includes spaces that are enhanced with the internet of things (IoT) infrastructure and library collection maps accessed through a library-designed mobile application. The analysis herein explored IoT-based browsing within an undergraduate library collection. The open stacks and mobile infrastructure provided several years (2016-2019) of user-generated smart building data on browsing and selecting items in open stacks. The methods of analysis used in this chapter include transactional analysis and data visualization of IoT infrastructure logs. By analyzing server logs from the computing infrastructure that powers the IoT services, it is possible to infer in greater detail than heretofore possible the specifics of the way library collections are a target of undergraduate student engagement.

Towards Autonomous IoT Logistics Objects

2017 ◽  
pp. 210-222
Author(s):  
Bill Karakostas
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Credit Card ◽  
Raspberry Pi ◽  
The Internet ◽  
Simulated Environment ◽  
Embedded Knowledge ◽  
New Knowledge ◽  
The Internet Of Things ◽  
Computing Infrastructure

To improve the overall impact of the Internet of Things (IoT), intelligent capabilities must be developed at the edge of the IoT ‘Cloud.' ‘Smart' IoT objects must not only communicate with their environment, but also use embedded knowledge to interpret signals, and by making inferences augment their knowledge of their own state and that of their environment. Thus, intelligent IoT objects must improve their capabilities to make autonomous decisions without reliance to external computing infrastructure. In this chapter, we illustrate the concept of smart autonomous logistic objects with a proof of concept prototype built using an embedded version of the Prolog language, running on a Raspberry Pi credit-card-sized single-board computer to which an RFID reader is attached. The intelligent object is combining the RFID readings from its environment with embedded knowledge to infer new knowledge about its status. We test the system performance in a simulated environment consisting of logistics objects.

scholarly journals Smart Cities using Internet of Things: Recent Trends and Techniques

2019 ◽  
Vol 8 (9S) ◽  
pp. 24-28
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Wearable Sensors ◽  
The Internet ◽  
Human Beings ◽  
Smart Building ◽  
Recent Trends ◽  
The Internet Of Things ◽  
Smart Infrastructure

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.

Towards Autonomous IoT Logistics Objects

2020 ◽  
pp. 213-225
Author(s):  
Bill Karakostas
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Credit Card ◽  
Raspberry Pi ◽  
The Internet ◽  
Simulated Environment ◽  
Embedded Knowledge ◽  
New Knowledge ◽  
The Internet Of Things ◽  
Computing Infrastructure

To improve the overall impact of the Internet of Things (IoT), intelligent capabilities must be developed at the edge of the IoT ‘Cloud.' ‘Smart' IoT objects must not only communicate with their environment, but also use embedded knowledge to interpret signals, and by making inferences augment their knowledge of their own state and that of their environment. Thus, intelligent IoT objects must improve their capabilities to make autonomous decisions without reliance to external computing infrastructure. In this chapter, we illustrate the concept of smart autonomous logistic objects with a proof of concept prototype built using an embedded version of the Prolog language, running on a Raspberry Pi credit-card-sized single-board computer to which an RFID reader is attached. The intelligent object is combining the RFID readings from its environment with embedded knowledge to infer new knowledge about its status. We test the system performance in a simulated environment consisting of logistics objects.

Leveraging the Internet of Things (IoT) Paradigm Towards Smarter Applications

2019 ◽  
pp. 306-324
Author(s):  
E. A. Neeba ◽  
J. Aswini ◽  
R. Priyadarshini
Keyword(s):  
Internet Of Things ◽  
Real Life ◽  
Smart Devices ◽  
The Internet ◽  
Evidence Based ◽  
Theoretical Studies ◽  
Basic Requirement ◽  
Research Focus ◽  
Intelligent Processing ◽  
The Internet Of Things

Intelligent processing with smart devices and informative communications in everyday tasks brings an effective platform for the internet of things (IOT). Internet of things is seeking its own way to be the universal solution for all the real-life scenarios. Even though many theoretical studies pave the basic requirement for the internet of things, still the evidence-based learning (EBL) is lacking to deal with the application of the internet of things. As a contribution of this chapter, the basic requirements to study about internet of things with its deployment architecture for mostly enhanced applications are analyzed. This shows researchers how to initiate their research focus with the utilization of internet of things.

CLEVER

2012 ◽  
pp. 219-241
Author(s):  
Francesco Tusa ◽  
Maurizio Paone ◽  
Massimo Villari
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Computing ◽  
Electronic Device ◽  
The Internet ◽  
Use Case ◽  
Grid Infrastructures ◽  
The Internet Of Things ◽  
Computing Infrastructure ◽  
Cloud Resources

This chapter describes both the design and architecture of the CLEVER cloud middleware, pointing out the possibilities it offers towards enlarging the concept of federation in more directions. CLEVER is able to accomplish such an enlargement enabling the interaction among whatever type of electronic device connected to Internet, thus offering the opportunity of implementing the Internet of Things. Together with this type of perspective, CLEVER aims to “aggregate” heterogeneous computing infrastructure by putting together Cloud and Grid, as an example. The chapter starts with a description of the cloud projects related to CLEVER, followed by a discussion on the middleware components that mainly focuses on the innovative features they have, in particular the communication mechanisms adopted. The second part of the chapter presents a real use case that exploits the CLEVER features that allow easy creation of federated clouds’ infrastructures that can be also based on integration with existing Grids; it is demonstrated thanks to the “oneshot” CLEVER deploying mechanism. It is possible to scale dynamically the cloud resources by taking advantage of the existing Grid infrastructures, and minimizing the changes needed at the involved management middleware.

Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things

Computer ◽  
2017 ◽  
Vol 50 (9) ◽  
pp. 92-98 ◽  
Author(s):  
Chii Chang ◽  
Satish Narayana Srirama ◽  
Rajkumar Buyya
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
The Internet Of Things ◽  
Computing Infrastructure
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