22,521 research outputs found
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
Enterprise modelling framework for dynamic and complex business environment: socio-technical systems perspective
The modern business environment is characterised by dynamism and ambiguity. The causes
include global economic change, rapid change requirements, shortened development life
cycles and the increasing complexity of information technology and information systems
(IT/IS). However, enterprises have been seen as socio-technical systems.
The dynamic complex business environment cannot be understood without intensive
modelling and simulation. Nevertheless, there is no single description of reality, which has
been seen as relative to its context and point of view. Human perception is considered an
important determinant for the subjectivist view of reality. Many scholars working in the
socio-technical systems and enterprise modelling domains have conceived the holistic sociotechnical
systems analysis and design possible using a limited number of procedural and
modelling approaches. For instance, the ETHICS and Human-centred design approaches of
socio-technical analysis and design, goal-oriented and process-oriented modelling of
enterprise modelling perspectives, and the Zachman and DoDAF enterprise architecture
frameworks all have limitations that can be improved upon, which have been significantly
explained in this thesis. [Continues.
Systems Interoperability Types: A Tertiary Study
Interoperability has been a focus of attention over at least four decades,
with the emergence of several interoperability types (or levels), diverse
models, frameworks, and solutions, also as a result of a continuous effort from
different domains. The current heterogeneity in technologies such as
blockchain, IoT and new application domains such as Industry 4.0 brings not
only new interaction possibilities but also challenges for interoperability.
Moreover, confusion and ambiguity in the current understanding of
interoperability types exist, hampering stakeholders' communication and
decision making. This work presents an updated panorama of software-intensive
systems interoperability with particular attention to its types. For this, we
conducted a tertiary study that scrutinized 37 secondary studies published from
2012 to 2023, from which we found 36 interoperability types associated with 117
different definitions, besides 13 interoperability models and six frameworks in
various domains. This panorama reveals that the concern with interoperability
has migrated from technical to social-technical issues going beyond the
software systems' boundary and still requiring solving many open issues. We
also address the urgent actions and also potential research opportunities to
leverage interoperability as a multidisciplinary research field to achieve
low-coupled, cost-effective, and interoperable systems.Comment: 33 page
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