scholarly journals Internet of Robotic Things: A Review

2021 ◽  
Vol 2 (03) ◽  
pp. 78-90
Author(s):  
Sibar Khalid
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Transmission ◽  
Network Protocols ◽  
Robotic Systems ◽  
The Internet ◽  
M2m Communication ◽  
Fast Pace ◽  
Basic Network ◽  
The Internet Of Things

The Internet of Things (IoT) gives a strong structure for connecting things to the internet to facilitate Machine to Machine (M2M) communication and data transmission through basic network protocols such as TCP/IP.  IoT is growing at a fast pace, and billions of devices are now associated, with the amount expected to reach trillions in the coming years. Many fields, including the army, farming, manufacturing, healthcare, robotics, and biotechnology, are adopting IoT for advanced solutions as technology advances. This paper offers a detailed view of the current IoT paradigm, specifically proposed for robots, namely the Internet of Robotic Things (IoRT). IoRT is a collection of various developments such as Cloud Computing, Artificial Intelligence (AI), Machine Learning, and the (IoT). This paper also goes over architecture, which would be essential in the design of Multi-Role Robotic Systems for IoRT. Furthermore, includes systems underlying IoRT, as well as IoRT implementations.  The paper provides the foundation for researchers to imagine the idea of IoRT and to look beyond the frame while designing and implementing IoRT-based robotic systems in real-world implementations.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals Technology and More-Than-Human Design

Design Issues ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 33-44 ◽  
Author(s):  
Elisa Giaccardi ◽  
Johan Redström
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
The Internet ◽  
User Centered Design ◽  
Human Centered Design ◽  
Design Methodologies ◽  
The Everyday ◽  
The Internet Of Things ◽  
User Centered

Are we reaching the limits of what human-centered and user-centered design can cope with? Developing new design methodologies and tools to unlock the potentials of data technologies such as the Internet of Things, Machine Learning and Artificial Intelligence for the everyday job of design is necessary but not sufficient. There is now a need to fundamentally question what happens when human-centered design is unable to effectively give form to technology, why this might be the case, and where we could look for alternatives.

scholarly journals Future Service in Industry 5.0

2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Human Life ◽  
Rapid Development ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Develop Technology ◽  
The Internet Of Things

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.

From Business Intelligence to Data Science

2022 ◽  
pp. 218-237
Author(s):  
Virginia M. Miori ◽  
John Yi ◽  
Rashmi Malhotra ◽  
Ronald K. Klimberg
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Technology ◽  
Business Intelligence ◽  
Data Science ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Mass Storage ◽  
Current State ◽  
The Internet Of Things

The use of information technology and decision support concepts at the operational business level were slow to take hold in the 20th century. In 2010, the authors documented the evolution and current state of the field of business intelligence and analytics (BIA). In the last decade, however, through the resurgence and mainstream use of artificial intelligence, machine learning algorithms, the development of inexpensive cloud-based mass storage, and the internet-of-things, business intelligence has evolved into data science. In this chapter, the authors trace this evolution across the diverse areas of data science and identify extremely useful advancements and best practices in the field.

Analogizing the Internet of Things

2020 ◽  
Author(s):  
Scott J. Shackelford
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Space Exploration ◽  
The Internet ◽  
New Frontier ◽  
The Internet Of Things

As any new frontier opens or industry matures, it’s natural to search for analogies and historical precedents to guide both our actions and perceptions. President Kennedy famously compared space exploration to seafaring.1 The rise of artificial intelligence and machine learning discussed further...

scholarly journals SUITCEYES Scoping Report on Law and Policy on Deafblindness, Disability and New Technologies: United Kingdom

2021 ◽  
Author(s):  
Sarah Lesley Woodin
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
New Technologies ◽  
The Internet ◽  
Disabled People ◽  
Law And Policy ◽  
Technological Developments ◽  
The Uk ◽  
The Internet Of Things ◽  
Broad Overview

This report discusses law and policy on new technologies: artificial intelligence (AI), machine learning and the Internet of Things (IoT) in relation to disabled people and people with deafblindness in the UK. Written as part of the SUITCEYES project, it provides a broad overview of formal rights and the extent to which disabled people can access new technologies in practice. The field is fast moving and volatile, with judgements regularly made and overturned in the courts and frequent new initiatives. The UK government emphasises the importance of investing in new technologies as a means of strengthening the economy. The opportunities represented by technological developments have been largely welcomed by disabled people but questions remain about how the technology might be used and developed by disabled people and people with deafblindness themselves and the need for safeguards against exploitation.

The Evolution and Future of Retailing and Retailing Education

2018 ◽  
Vol 40 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Dhruv Grewal ◽  
Scott Motyka ◽  
Michael Levy
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Mobile Phones ◽  
Smart Devices ◽  
The Internet ◽  
Classroom Discussions ◽  
The Past ◽  
Blockchain Technology ◽  
The Internet Of Things ◽  
And Robotics

The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how the topics covered in retail education have shifted. This article further details the roles of current technologies, including social media and retailing analytics, and emerging areas, such as the Internet of things, machine learning, artificial intelligence, blockchain technology, and robotics, all of which are likely to change the retail landscape in the future. Educators thus should incorporate these technologies into their classroom discussions through various means, from experiential exercises to interactive discussions to the reviews of recent articles.

scholarly journals An Agent-Based Approach to Realize Emergent Configurations in the Internet of Things

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1347 ◽  
Author(s):  
Fahed Alkhabbas ◽  
Romina Spalazzese ◽  
Paul Davidsson
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
The Internet ◽  
Daily Lives ◽  
Agent Based ◽  
Design Time ◽  
Underlying Processes ◽  
The Internet Of Things

The Internet of Things (IoT) has enabled physical objects and devices, often referred to as things, to connect and communicate. This has opened up for the development of novel types of services that improve the quality of our daily lives. The dynamicity and uncertainty of IoT environments, including the mobility of users and devices, make it hard to foresee at design time available things and services. Further, users should be able to achieve their goals seamlessly in arbitrary environments. To address these challenges, we exploit Artificial Intelligence (AI) to engineer smart IoT systems that can achieve user goals and cope with the dynamicity and uncertainty of their environments. More specifically, the main contribution of this paper is an approach that leverages the notion of Belief-Desire-Intention agents and Machine Learning (ML) techniques to realize Emergent Configurations (ECs) in the IoT. An EC is an IoT system composed of a dynamic set of things that connect and cooperate temporarily to achieve a user goal. The approach enables the distributed formation, enactment, adaptation of ECs, and conflict resolution among them. We present a conceptual model of the entities of the approach, its underlying processes, and the guidelines for using it. Moreover, we report about the simulations conducted to validate the feasibility of the approach and evaluate its scalability.

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