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Artificial Intelligence-Based Ubiquitous Smart Learning Educational Environments
Published in P. Kaliraj, T. Devi, Artificial Intelligence Theory, Models, and Applications, 2021
The innovation and applications of new technologies have taken the educational institutions into a new dimension. Usage of technologies in teaching and learning is inevitable and the institutions not opting for technologies are out of the box in the present context. The educational institutions need to develop a smart learning environment so that the students can study in any place at any time. Ubiquitous computing is a new technology that utilizes a large number of cooperative small nodes with computing and/or communication capabilities such as handheld terminals, smart mobile phones, and sensor network nodes, etc. (Sakamura and Koshizuka, 2005). Initial research was carried out in e-learning. From e-learning, the researchers have moved to m-learning. m-learning enables learners to use mobile devices. With the advent of smartphones, a new era of learning, namely smart learning, is introduced. Ubiquitous learning in the latest version of smart learning allows the learners to connect to the content server at any time from any place by using smart devices. The shift in the e-learning paradigm is presented in Figure 11.1.
Overview of the Internet of Things and Ubiquitous Computing
Published in Sudhir Kumar Sharma, Bharat Bhushan, Aditya Khamparia, Parma Nand Astya, Narayan C. Debnath, Blockchain Technology for Data Privacy Management, 2021
Shashi Mehrotra, Shweta Sinha, Sudhir Kumar Sharma
Ubiquitous computing refers to the existence of computers everywhere, i.e., the availability of computational technology throughout the physical environment. This has to be obtained while keeping the computation behind the physical object and making it invisible to the user. During the last two decades, technology has seen tremendous growth and witnessed the evolution of low-cost, powerful processing units, storage, and memory devices. This development has helped achieve the interconnection of physical entities in a cost-effective manner. Smart wearable devices, smart homes, smart cities, and intelligent industries all have become possible, due to the availability of low-cost computational units. But missing interoperability and collaboration, owing to a lack of standardization, forbids the seamless integration of all components. This current direction of the IoT still does not fulfill the characteristics of ubiquitous computing to the fullest. To achieve this, the IoT needs to adopt a standardized middleware protocol that enables peer-to-peer networking. The role of this middleware protocol should be to manage the large-scale IoT with heterogeneous devices and provide an API for an application protocol to develop autonomous applications that meet the user’s natural way of interaction with the physical environment. It should make the navigation of things in the system easy. We discuss some of the application domains of the IoT, which are efforts toward ubiquitous computing.
Ubiquity
Published in Vivek Kale, Digital Transformation of Enterprise Architecture, 2019
Ubiquitous computing is an emerging computing discipline which exists at the intersection of computing, networking, and embedded computing systems. Developments in ubiquitous computing have led to the concept of disappearing computing, with a user being unaware that they are interacting with a collection of computing nodes. The aim of this ubiquitous technology is to add additional capabilities to everyday objects, allowing them to sense their environment and interact with the people and objects within it, and to enhance their existing functionality. These objectives require that the computing technology is seamlessly integrated into the environment—this has become a reality with the ever decreasing cost, size and power requirements of embedded processors. The chapter began by introducing the concept of ubiquity and core properties. In the latter part, it describes smart devices, smart environment and smart interaction.
Industry 4.0: state of the art and future trends
Published in International Journal of Production Research, 2018
IoT is also known as ubiquitous computing, ambient intelligence and distributed electronics. In IoT, a virtual computer model can be seamlessly integrated with physical networks of objects (Ding et al. 2013; Xu et al. 2017). Ubiquitous computing is enabled by smart devices. Smart devices are capable of integrating devices, organisations, and information systems for data sharing and exchange; real-time monitoring; and using anything, anywhere, anytime communication to sense, capture, measure and transfer data. For individual smart devices, their performance has been improved greatly. They have become powerful, versatile, and intelligent enough to deal with changes and complexity. For the networked system, simple devices without superior computation capability can be integrated, thus abundant information can be acquired for real-time decision-making.
Wearable technology: are product developers meeting consumer’s needs?
Published in International Journal of Fashion Design, Technology and Education, 2020
Human–computer interaction and ubiquitous computing are two prime concepts for the innovation of wearable technology (Baurley, 2004; Morris & Aguilera, 2012). Over 30 years ago, researchers had begun to explore the human–computer interaction concept with the goal of making computers accessible for all people (Card, Moran, & Newell, 1983). Ubiquitous computing is when a specific technology becomes so useful in daily life as though it has become a part of or an extension of the human body and goes unnoticed by others (Raj & Ha-Brookshire, 2016). These concepts began to see the practical application in the mid-1990s attracting investment in the development of portable technology for consumers (McCann & Bryson, 2009).
How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review
Published in International Journal of Production Research, 2023
Alessia Napoleone, Elisa Negri, Marco Macchi, Alessandro Pozzetti
Ubiquitous computing is a concept in computer science in which computing is performed at any location (Chen and Tsai 2017). However, in manufacturing having computational capability (F4) at any location is not affordable. For this reason, ubiquitous manufacturing typically implies that manufacturing services can be ubiquitously provided (also thanks to the data transmission and system communication (F2) function, included in T2 and T3) (Chen and Tsai 2017). Ubiquitous manufacturing is related to the availability of management, control and operation functions of manufacturing systems anywhere, anytime, using direct control, notebooks or handheld devices (assistance systems) that provide ubiquity of functions (Barenji et al. 2020). Thus analysed data (F4) can be provided in the form of services, for example: (i) to indicate the performance of the process (F6); (ii) to optimise maintenance plans (F7) and (iii) to correct eventual process faults (F8) (Li et al. 2019). Assistance systems can support both design (Engel, Greiner, and Seifert 2018) and operations (Krugh and Mears 2018) of CPS. Augmented and virtual reality technologies make assistance systems user-friendly and improve users’ experience, thus improving the effectiveness of training and operational activities (Tao et al. 2019; Marin and Brîndasu 2014; Dalmarco et al. 2019). Regarding manual operational activities, next generation of feedback to humans includes incorporating smart and augmented reality wearables to enhance timely notification of events and to improve the quality of products (Krugh and Mears 2018). For machining operations, human–machine interfaces and personal digital assistants (such as smartphones) can be used for interfacing machines with workers (Tran et al. 2019).