Smart Spaces Enabled Mobile Healthcare Services in Internet of Things Environments

2015 ◽  
Vol 6 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Dmitry G. Korzun ◽  
Alexander V. Borodin ◽  
Ilya V. Paramonov ◽  
Andrey M. Vasilyev ◽  
Sergey I. Balandin
Keyword(s):  
Internet Of Things ◽  
Healthcare Services ◽  
First Aid ◽  
Reference Architecture ◽  
Smart Spaces ◽  
Architecture Model ◽  
Mobile Healthcare ◽  
Source Data ◽  
Architectural Model ◽  
Service Ecosystem

The article studies the smart spaces approach applied for development of mobile healthcare (m-Health) services deploying in Internet of Things (IoT) environments. The authors consider a reference architecture model of the service ecosystem with focus on intelligent utilization of multi-source data originated from the IoT environment. Based on the architecture the authors introduce two reference scenarios: assistance in providing the first aid and communication with the hospital information system. For the architectural model and the scenarios pilot implementations are developed on the open source Smart-M3 platform.

scholarly journals Towards a Domain-Specific Approach Enabling Tool-Supported Model-Based Systems Engineering of Complex Industrial Internet-of-Things Applications

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 21
Author(s):  
Christoph Binder ◽  
Christian Neureiter ◽  
Arndt Lüder
Keyword(s):  
Internet Of Things ◽  
Systems Engineering ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Major Change ◽  
Reference Architecture ◽  
Architecture Model ◽  
Domain Specific ◽  
Model Based ◽  
Model Based Systems Engineering

Contemporary manufacturing systems are undergoing a major change promoted by emerging technologies such as Cyber-physical Systems (CPS) or the Internet of Things (IoT). This trend, nowadays widely known by the term “Industry 4.0”, leads to a new kind of automated production. However, the rising number of dynamically interconnected elements in industrial production lines results in such a system being transformed into a complex System of Systems (SoS). Due to the increasing complexity and the challenges accompanied by this change, conventional engineering methods using generic principles reach their limits when developing this type of systems. With varying approaches only trying to find a solution for small-scaled areas of this problem statement, the need for a holistic methodology becomes more and more obvious. Having recognized this issue, one of the most promising approaches has been introduced with the Reference Architecture Model Industry 4.0 (RAMI 4.0). However, in the current point of view, this domain-specific architecture framework is missing specifications to address all aspects of such a critical infrastructure. Thus, this paper introduces a comprehensive modeling approach utilizing methods applied in Model-Based Systems Engineering (MBSE) and including domain-specific particularities as well as architectural concepts with the goal to enable mutual engineering of current and future industrial systems. The resulting artifacts, a domain-specific language (DSL), an architecture definition and a development process, are thereby consolidated in a ready to use software framework, whose applicability was evaluated by a real-world case study.

Semantic interoperability in IoT-based automation infrastructures

2016 ◽  
Vol 64 (9) ◽  
Author(s):  
Reinhard Herzog ◽  
Michael Jacoby ◽  
Ivana Podnar Žarko
Keyword(s):  
Internet Of Things ◽  
Semantic Interoperability ◽  
Industrie 4.0 ◽  
The Internet ◽  
Reference Architecture ◽  
Functional Architecture ◽  
Architecture Model ◽  
Industrial Internet ◽  
The Internet Of Things

AbstractThe paper analyses and compares the different approaches to achieve semantic interoperability of the most influential IoT reference architectures, namely the Industrial Internet Reference Architecture, Reference Architecture Model Industrie 4.0, ISO/IEC Internet of Things Reference Architecture, the Internet of Things – Architecture (IoT-A) and oneM2M functional architecture.

Towards the Development of Smart Spaces-Based Socio-Cyber-Medicine Systems

2017 ◽  
Vol 8 (1) ◽  
pp. 45-63 ◽  
Author(s):  
Yulia V. Zavyalova ◽  
Dmitry G. Korzun ◽  
Alexander Yu. Meigal ◽  
Alexander V. Borodin
Keyword(s):  
Medical Information ◽  
Semantic Network ◽  
Collaborative Work ◽  
Healthcare Services ◽  
Social World ◽  
Medical Professionals ◽  
End User ◽  
Smart Spaces ◽  
The Social ◽  
Source Data

The concept of Cyber-Medicine System (CMS) is applied to research and development of medical information systems where the Internet is used to integrate medical devices and healthcare services into the system and to connect patients and medical professionals. In this paper, the authors generalize the concept to Socio-CMS, where the social world is added to the fusion of physical and cyber worlds. The social world affects the end-user activity and provides opportunities for collaborative work. A semantic layer is introduced to integrate all system and domain objects from the three digitalized worlds into a smart space: multi-source data, ongoing processes, situation attributes, reasoning rules, and human activity. All objects are dynamically related, leading to such a knowledge-rich structure as a semantic network. Data mining and analytics apply semantic algorithms for this network, including the Big Data case. The derived knowledge feeds construction of advanced healthcare services for supporting medical professionals and for assisting patients.

scholarly journals A Reference Architecture for Integrating the Industrial Internet of Things in the Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth
Keyword(s):  
Internet Of Things ◽  
Design Process ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Reference Architecture ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Architecture Model ◽  
Industrial Internet ◽  
Step Model

There is an increased attention on propositions on models, infrastructures and frameworks of IoT in both business reports and technical papers. These reports and publications frequently represent a juxtaposition of other related systems and technologies (e.g. Industrial Internet of Things, Cyber Physical Systems, Industry 4.0 etc). At present, the literature is missing a design process for integrating these constantly evolving systems and technologies in a clear and understandable step by step model. This paper contributes with a new reference architecture model for the integration of these systems and technologies. The reference architecture model is based on grouping of future and present techniques and presenting the design process through a new hierarchical framework and a new cascading model. With the application of the grounded theory, the hierarchical framework and the cascading model detail a new process for creating a taxonomy of categories and grouping of concepts into integration design. The new design process is tested and versified with an empirical review of Industry 4.0 frameworks and results with a new 5 levels reference architecture step by step model for the integration of these related systems and technologies (Industrial Internet of Things, Cyber Physical Systems, and Industry 4.0). We review 118 academic and industry papers published between 2010 and 2019. Then, we report the results of a qualitative empirical study that correlates academic literature with 14 world leading Industry 4.0 frameworks and initiatives. We therefore propose an architectural model that offers a better understanding of the systems integration between the Industrial Internet of Things and Industry 4.0.

scholarly journals Open Source Control Device for Industry 4.0 Based on RAMI 4.0

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 869
Author(s):  
Pablo F. S. Melo ◽  
Eduardo P. Godoy ◽  
Paolo Ferrari ◽  
Emiliano Sisinni
Keyword(s):  
Open Source ◽  
Industry 4.0 ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Control Device ◽  
Source Control ◽  
Reference Architecture ◽  
Architecture Model ◽  
Complex Relationships

The technical innovation of the fourth industrial revolution (Industry 4.0—I4.0) is based on the following respective conditions: horizontal and vertical integration of manufacturing systems, decentralization of computing resources and continuous digital engineering throughout the product life cycle. The reference architecture model for Industry 4.0 (RAMI 4.0) is a common model for systematizing, structuring and mapping the complex relationships and functionalities required in I4.0 applications. Despite its adoption in I4.0 projects, RAMI 4.0 is an abstract model, not an implementation guide, which hinders its current adoption and full deployment. As a result, many papers have recently studied the interactions required among the elements distributed along the three axes of RAMI 4.0 to develop a solution compatible with the model. This paper investigates RAMI 4.0 and describes our proposal for the development of an open-source control device for I4.0 applications. The control device is one of the elements in the hierarchy-level axis of RAMI 4.0. Its main contribution is the integration of open-source solutions of hardware, software, communication and programming, covering the relationships among three layers of RAMI 4.0 (assets, integration and communication). The implementation of a proof of concept of the control device is discussed. Experiments in an I4.0 scenario were used to validate the operation of the control device and demonstrated its effectiveness and robustness without interruption, failure or communication problems during the experiments.

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

A Secure Robust and Privacy Enhanced Mobile Healthcare Framework

2018 ◽  
Vol 15 (3) ◽  
pp. 61-81
Author(s):  
Hisham M. Alsaghier ◽  
Shaik Shakeel Ahamad
Keyword(s):  
Health Systems ◽  
Mobile Health ◽  
Integrated Circuit ◽  
Cost Effective ◽  
Healthcare Services ◽  
Healthcare Industry ◽  
Continuous Transition ◽  
Trusted Platform Module ◽  
Mobile Healthcare ◽  
Mobile Health Systems

This article describes how the exponential growth of mobile applications has changed the way healthcare services function, and mobile healthcare using the Cloud is the most promising technology for healthcare industry. The mobile healthcare industry is in a continuous transition phase that requires continual innovation. There has been identified some of the challenges in the area of security protocols for mobile health systems which still need to be addressed in the future to enable cost-effective, secure and robust mobile health systems. This article addresses these challenges by proposing a secure robust and privacy-enhanced mobile healthcare framework (SRPF) by adopting a Community Cloud (CC), WPKI cryptosystems, Universal Integrated Circuit Cards (UICCs) and a Trusted Platform Module (TPM). All the security properties are provided within this framework. SRPF overcomes replay attacks, Man in the Middle (MITM) Attacks, Impersonation attacks and Multi-Protocol attacks as SRPF was successfully verified using a scyther tool and by BAN logic.

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